{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "ename": "ERROR",
     "evalue": "Error in library(simpleaffy): there is no package called ‘simpleaffy’\n",
     "output_type": "error",
     "traceback": [
      "Error in library(simpleaffy): there is no package called ‘simpleaffy’\nTraceback:\n",
      "1. library(simpleaffy)"
     ]
    }
   ],
   "source": [
    "library(limma)\n",
    "library(edgeR)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Read the count table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 14</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>X</th><th scope=col>Geneid</th><th scope=col>sorted_reads.mfc_cnt_2.bam</th><th scope=col>sorted_reads.mfc_dac_2.bam</th><th scope=col>sorted_reads.mfc_dac_1.bam</th><th scope=col>sorted_reads.mfc_dac_3.bam</th><th scope=col>sorted_reads.yb5_dac_3.bam</th><th scope=col>sorted_reads.yb5_cnt_1.bam</th><th scope=col>sorted_reads.mfc_cnt_1.bam</th><th scope=col>sorted_reads.yb5_cnt_3.bam</th><th scope=col>sorted_reads.yb5_dac_1.bam</th><th scope=col>sorted_reads.yb5_dac_2.bam</th><th scope=col>sorted_reads.yb5_cnt_2.bam</th><th scope=col>sorted_reads.mfc_cnt_3.bam</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>0</td><td>ENSG00000223972</td><td>  18</td><td>  57</td><td>  46</td><td>  56</td><td> 215</td><td>  59</td><td>  11</td><td>  32</td><td> 278</td><td> 203</td><td>  35</td><td>  55</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>1</td><td>ENSG00000227232</td><td>2441</td><td>4172</td><td>3644</td><td>4329</td><td>5629</td><td>4055</td><td>2089</td><td>2568</td><td>6803</td><td>4957</td><td>2568</td><td>7559</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>2</td><td>ENSG00000278267</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>3</td><td>ENSG00000243485</td><td>   3</td><td>  11</td><td>   8</td><td>  13</td><td>  23</td><td>  12</td><td>   2</td><td>   9</td><td>  33</td><td>  26</td><td>   7</td><td>   8</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>4</td><td>ENSG00000237613</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   1</td><td>   0</td><td>   0</td><td>   2</td><td>   1</td><td>   0</td><td>   0</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>5</td><td>ENSG00000268020</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   1</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 14\n",
       "\\begin{tabular}{r|llllllllllllll}\n",
       "  & X & Geneid & sorted\\_reads.mfc\\_cnt\\_2.bam & sorted\\_reads.mfc\\_dac\\_2.bam & sorted\\_reads.mfc\\_dac\\_1.bam & sorted\\_reads.mfc\\_dac\\_3.bam & sorted\\_reads.yb5\\_dac\\_3.bam & sorted\\_reads.yb5\\_cnt\\_1.bam & sorted\\_reads.mfc\\_cnt\\_1.bam & sorted\\_reads.yb5\\_cnt\\_3.bam & sorted\\_reads.yb5\\_dac\\_1.bam & sorted\\_reads.yb5\\_dac\\_2.bam & sorted\\_reads.yb5\\_cnt\\_2.bam & sorted\\_reads.mfc\\_cnt\\_3.bam\\\\\n",
       "  & <int> & <chr> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t1 & 0 & ENSG00000223972 &   18 &   57 &   46 &   56 &  215 &   59 &   11 &   32 &  278 &  203 &   35 &   55\\\\\n",
       "\t2 & 1 & ENSG00000227232 & 2441 & 4172 & 3644 & 4329 & 5629 & 4055 & 2089 & 2568 & 6803 & 4957 & 2568 & 7559\\\\\n",
       "\t3 & 2 & ENSG00000278267 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0\\\\\n",
       "\t4 & 3 & ENSG00000243485 &    3 &   11 &    8 &   13 &   23 &   12 &    2 &    9 &   33 &   26 &    7 &    8\\\\\n",
       "\t5 & 4 & ENSG00000237613 &    0 &    0 &    0 &    0 &    0 &    1 &    0 &    0 &    2 &    1 &    0 &    0\\\\\n",
       "\t6 & 5 & ENSG00000268020 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    1 &    0 &    0 &    0 &    0\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 14\n",
       "\n",
       "| <!--/--> | X &lt;int&gt; | Geneid &lt;chr&gt; | sorted_reads.mfc_cnt_2.bam &lt;int&gt; | sorted_reads.mfc_dac_2.bam &lt;int&gt; | sorted_reads.mfc_dac_1.bam &lt;int&gt; | sorted_reads.mfc_dac_3.bam &lt;int&gt; | sorted_reads.yb5_dac_3.bam &lt;int&gt; | sorted_reads.yb5_cnt_1.bam &lt;int&gt; | sorted_reads.mfc_cnt_1.bam &lt;int&gt; | sorted_reads.yb5_cnt_3.bam &lt;int&gt; | sorted_reads.yb5_dac_1.bam &lt;int&gt; | sorted_reads.yb5_dac_2.bam &lt;int&gt; | sorted_reads.yb5_cnt_2.bam &lt;int&gt; | sorted_reads.mfc_cnt_3.bam &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| 1 | 0 | ENSG00000223972 |   18 |   57 |   46 |   56 |  215 |   59 |   11 |   32 |  278 |  203 |   35 |   55 |\n",
       "| 2 | 1 | ENSG00000227232 | 2441 | 4172 | 3644 | 4329 | 5629 | 4055 | 2089 | 2568 | 6803 | 4957 | 2568 | 7559 |\n",
       "| 3 | 2 | ENSG00000278267 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |\n",
       "| 4 | 3 | ENSG00000243485 |    3 |   11 |    8 |   13 |   23 |   12 |    2 |    9 |   33 |   26 |    7 |    8 |\n",
       "| 5 | 4 | ENSG00000237613 |    0 |    0 |    0 |    0 |    0 |    1 |    0 |    0 |    2 |    1 |    0 |    0 |\n",
       "| 6 | 5 | ENSG00000268020 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    1 |    0 |    0 |    0 |    0 |\n",
       "\n"
      ],
      "text/plain": [
       "  X Geneid          sorted_reads.mfc_cnt_2.bam sorted_reads.mfc_dac_2.bam\n",
       "1 0 ENSG00000223972   18                         57                      \n",
       "2 1 ENSG00000227232 2441                       4172                      \n",
       "3 2 ENSG00000278267    0                          0                      \n",
       "4 3 ENSG00000243485    3                         11                      \n",
       "5 4 ENSG00000237613    0                          0                      \n",
       "6 5 ENSG00000268020    0                          0                      \n",
       "  sorted_reads.mfc_dac_1.bam sorted_reads.mfc_dac_3.bam\n",
       "1   46                         56                      \n",
       "2 3644                       4329                      \n",
       "3    0                          0                      \n",
       "4    8                         13                      \n",
       "5    0                          0                      \n",
       "6    0                          0                      \n",
       "  sorted_reads.yb5_dac_3.bam sorted_reads.yb5_cnt_1.bam\n",
       "1  215                         59                      \n",
       "2 5629                       4055                      \n",
       "3    0                          0                      \n",
       "4   23                         12                      \n",
       "5    0                          1                      \n",
       "6    0                          0                      \n",
       "  sorted_reads.mfc_cnt_1.bam sorted_reads.yb5_cnt_3.bam\n",
       "1   11                         32                      \n",
       "2 2089                       2568                      \n",
       "3    0                          0                      \n",
       "4    2                          9                      \n",
       "5    0                          0                      \n",
       "6    0                          1                      \n",
       "  sorted_reads.yb5_dac_1.bam sorted_reads.yb5_dac_2.bam\n",
       "1  278                        203                      \n",
       "2 6803                       4957                      \n",
       "3    0                          0                      \n",
       "4   33                         26                      \n",
       "5    2                          1                      \n",
       "6    0                          0                      \n",
       "  sorted_reads.yb5_cnt_2.bam sorted_reads.mfc_cnt_3.bam\n",
       "1   35                         55                      \n",
       "2 2568                       7559                      \n",
       "3    0                          0                      \n",
       "4    7                          8                      \n",
       "5    0                          0                      \n",
       "6    0                          0                      "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cc <- read.csv(\"counts.csv\")\n",
    "head(cc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Do the table formatting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "rownames(cc) <- cc[,2]\n",
    "cc <- cc[, -c(1,2)]\n",
    "o <- order(colnames(cc))\n",
    "cc <- cc[, o]\n",
    "ccl <- apply(cc, c(1,2), function(x) log2(x+1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A matrix: 10 × 12 of type dbl</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>sorted_reads.mfc_cnt_1.bam</th><th scope=col>sorted_reads.mfc_cnt_2.bam</th><th scope=col>sorted_reads.mfc_cnt_3.bam</th><th scope=col>sorted_reads.mfc_dac_1.bam</th><th scope=col>sorted_reads.mfc_dac_2.bam</th><th scope=col>sorted_reads.mfc_dac_3.bam</th><th scope=col>sorted_reads.yb5_cnt_1.bam</th><th scope=col>sorted_reads.yb5_cnt_2.bam</th><th scope=col>sorted_reads.yb5_cnt_3.bam</th><th scope=col>sorted_reads.yb5_dac_1.bam</th><th scope=col>sorted_reads.yb5_dac_2.bam</th><th scope=col>sorted_reads.yb5_dac_3.bam</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>ENSG00000223972</th><td> 3.584963</td><td> 4.247928</td><td> 5.807355</td><td> 5.554589</td><td> 5.857981</td><td> 5.832890</td><td> 5.906891</td><td> 5.169925</td><td> 5.044394</td><td> 8.124121</td><td> 7.672425</td><td> 7.754888</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000227232</th><td>11.029287</td><td>11.253847</td><td>12.884171</td><td>11.831703</td><td>12.026869</td><td>12.080151</td><td>11.985842</td><td>11.326991</td><td>11.326991</td><td>12.732167</td><td>12.275543</td><td>12.458919</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000278267</th><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000243485</th><td> 1.584963</td><td> 2.000000</td><td> 3.169925</td><td> 3.169925</td><td> 3.584963</td><td> 3.807355</td><td> 3.700440</td><td> 3.000000</td><td> 3.321928</td><td> 5.087463</td><td> 4.754888</td><td> 4.584963</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000237613</th><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 1.000000</td><td> 0.000000</td><td> 0.000000</td><td> 1.584963</td><td> 1.000000</td><td> 0.000000</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000268020</th><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 1.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000240361</th><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000186092</th><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000238009</th><td> 5.523562</td><td> 6.339850</td><td> 7.523562</td><td> 6.794416</td><td> 6.807355</td><td> 6.942515</td><td> 6.741467</td><td> 6.209453</td><td> 6.169925</td><td> 7.238405</td><td> 7.108524</td><td> 7.139551</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000239945</th><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A matrix: 10 × 12 of type dbl\n",
       "\\begin{tabular}{r|llllllllllll}\n",
       "  & sorted\\_reads.mfc\\_cnt\\_1.bam & sorted\\_reads.mfc\\_cnt\\_2.bam & sorted\\_reads.mfc\\_cnt\\_3.bam & sorted\\_reads.mfc\\_dac\\_1.bam & sorted\\_reads.mfc\\_dac\\_2.bam & sorted\\_reads.mfc\\_dac\\_3.bam & sorted\\_reads.yb5\\_cnt\\_1.bam & sorted\\_reads.yb5\\_cnt\\_2.bam & sorted\\_reads.yb5\\_cnt\\_3.bam & sorted\\_reads.yb5\\_dac\\_1.bam & sorted\\_reads.yb5\\_dac\\_2.bam & sorted\\_reads.yb5\\_dac\\_3.bam\\\\\n",
       "\\hline\n",
       "\tENSG00000223972 &  3.584963 &  4.247928 &  5.807355 &  5.554589 &  5.857981 &  5.832890 &  5.906891 &  5.169925 &  5.044394 &  8.124121 &  7.672425 &  7.754888\\\\\n",
       "\tENSG00000227232 & 11.029287 & 11.253847 & 12.884171 & 11.831703 & 12.026869 & 12.080151 & 11.985842 & 11.326991 & 11.326991 & 12.732167 & 12.275543 & 12.458919\\\\\n",
       "\tENSG00000278267 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000\\\\\n",
       "\tENSG00000243485 &  1.584963 &  2.000000 &  3.169925 &  3.169925 &  3.584963 &  3.807355 &  3.700440 &  3.000000 &  3.321928 &  5.087463 &  4.754888 &  4.584963\\\\\n",
       "\tENSG00000237613 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  1.000000 &  0.000000 &  0.000000 &  1.584963 &  1.000000 &  0.000000\\\\\n",
       "\tENSG00000268020 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  1.000000 &  0.000000 &  0.000000 &  0.000000\\\\\n",
       "\tENSG00000240361 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000\\\\\n",
       "\tENSG00000186092 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000\\\\\n",
       "\tENSG00000238009 &  5.523562 &  6.339850 &  7.523562 &  6.794416 &  6.807355 &  6.942515 &  6.741467 &  6.209453 &  6.169925 &  7.238405 &  7.108524 &  7.139551\\\\\n",
       "\tENSG00000239945 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A matrix: 10 × 12 of type dbl\n",
       "\n",
       "| <!--/--> | sorted_reads.mfc_cnt_1.bam | sorted_reads.mfc_cnt_2.bam | sorted_reads.mfc_cnt_3.bam | sorted_reads.mfc_dac_1.bam | sorted_reads.mfc_dac_2.bam | sorted_reads.mfc_dac_3.bam | sorted_reads.yb5_cnt_1.bam | sorted_reads.yb5_cnt_2.bam | sorted_reads.yb5_cnt_3.bam | sorted_reads.yb5_dac_1.bam | sorted_reads.yb5_dac_2.bam | sorted_reads.yb5_dac_3.bam |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| ENSG00000223972 |  3.584963 |  4.247928 |  5.807355 |  5.554589 |  5.857981 |  5.832890 |  5.906891 |  5.169925 |  5.044394 |  8.124121 |  7.672425 |  7.754888 |\n",
       "| ENSG00000227232 | 11.029287 | 11.253847 | 12.884171 | 11.831703 | 12.026869 | 12.080151 | 11.985842 | 11.326991 | 11.326991 | 12.732167 | 12.275543 | 12.458919 |\n",
       "| ENSG00000278267 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |\n",
       "| ENSG00000243485 |  1.584963 |  2.000000 |  3.169925 |  3.169925 |  3.584963 |  3.807355 |  3.700440 |  3.000000 |  3.321928 |  5.087463 |  4.754888 |  4.584963 |\n",
       "| ENSG00000237613 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  1.000000 |  0.000000 |  0.000000 |  1.584963 |  1.000000 |  0.000000 |\n",
       "| ENSG00000268020 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  1.000000 |  0.000000 |  0.000000 |  0.000000 |\n",
       "| ENSG00000240361 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |\n",
       "| ENSG00000186092 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |\n",
       "| ENSG00000238009 |  5.523562 |  6.339850 |  7.523562 |  6.794416 |  6.807355 |  6.942515 |  6.741467 |  6.209453 |  6.169925 |  7.238405 |  7.108524 |  7.139551 |\n",
       "| ENSG00000239945 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |\n",
       "\n"
      ],
      "text/plain": [
       "                sorted_reads.mfc_cnt_1.bam sorted_reads.mfc_cnt_2.bam\n",
       "ENSG00000223972  3.584963                   4.247928                 \n",
       "ENSG00000227232 11.029287                  11.253847                 \n",
       "ENSG00000278267  0.000000                   0.000000                 \n",
       "ENSG00000243485  1.584963                   2.000000                 \n",
       "ENSG00000237613  0.000000                   0.000000                 \n",
       "ENSG00000268020  0.000000                   0.000000                 \n",
       "ENSG00000240361  0.000000                   0.000000                 \n",
       "ENSG00000186092  0.000000                   0.000000                 \n",
       "ENSG00000238009  5.523562                   6.339850                 \n",
       "ENSG00000239945  0.000000                   0.000000                 \n",
       "                sorted_reads.mfc_cnt_3.bam sorted_reads.mfc_dac_1.bam\n",
       "ENSG00000223972  5.807355                   5.554589                 \n",
       "ENSG00000227232 12.884171                  11.831703                 \n",
       "ENSG00000278267  0.000000                   0.000000                 \n",
       "ENSG00000243485  3.169925                   3.169925                 \n",
       "ENSG00000237613  0.000000                   0.000000                 \n",
       "ENSG00000268020  0.000000                   0.000000                 \n",
       "ENSG00000240361  0.000000                   0.000000                 \n",
       "ENSG00000186092  0.000000                   0.000000                 \n",
       "ENSG00000238009  7.523562                   6.794416                 \n",
       "ENSG00000239945  0.000000                   0.000000                 \n",
       "                sorted_reads.mfc_dac_2.bam sorted_reads.mfc_dac_3.bam\n",
       "ENSG00000223972  5.857981                   5.832890                 \n",
       "ENSG00000227232 12.026869                  12.080151                 \n",
       "ENSG00000278267  0.000000                   0.000000                 \n",
       "ENSG00000243485  3.584963                   3.807355                 \n",
       "ENSG00000237613  0.000000                   0.000000                 \n",
       "ENSG00000268020  0.000000                   0.000000                 \n",
       "ENSG00000240361  0.000000                   0.000000                 \n",
       "ENSG00000186092  0.000000                   0.000000                 \n",
       "ENSG00000238009  6.807355                   6.942515                 \n",
       "ENSG00000239945  0.000000                   0.000000                 \n",
       "                sorted_reads.yb5_cnt_1.bam sorted_reads.yb5_cnt_2.bam\n",
       "ENSG00000223972  5.906891                   5.169925                 \n",
       "ENSG00000227232 11.985842                  11.326991                 \n",
       "ENSG00000278267  0.000000                   0.000000                 \n",
       "ENSG00000243485  3.700440                   3.000000                 \n",
       "ENSG00000237613  1.000000                   0.000000                 \n",
       "ENSG00000268020  0.000000                   0.000000                 \n",
       "ENSG00000240361  0.000000                   0.000000                 \n",
       "ENSG00000186092  0.000000                   0.000000                 \n",
       "ENSG00000238009  6.741467                   6.209453                 \n",
       "ENSG00000239945  0.000000                   0.000000                 \n",
       "                sorted_reads.yb5_cnt_3.bam sorted_reads.yb5_dac_1.bam\n",
       "ENSG00000223972  5.044394                   8.124121                 \n",
       "ENSG00000227232 11.326991                  12.732167                 \n",
       "ENSG00000278267  0.000000                   0.000000                 \n",
       "ENSG00000243485  3.321928                   5.087463                 \n",
       "ENSG00000237613  0.000000                   1.584963                 \n",
       "ENSG00000268020  1.000000                   0.000000                 \n",
       "ENSG00000240361  0.000000                   0.000000                 \n",
       "ENSG00000186092  0.000000                   0.000000                 \n",
       "ENSG00000238009  6.169925                   7.238405                 \n",
       "ENSG00000239945  0.000000                   0.000000                 \n",
       "                sorted_reads.yb5_dac_2.bam sorted_reads.yb5_dac_3.bam\n",
       "ENSG00000223972  7.672425                   7.754888                 \n",
       "ENSG00000227232 12.275543                  12.458919                 \n",
       "ENSG00000278267  0.000000                   0.000000                 \n",
       "ENSG00000243485  4.754888                   4.584963                 \n",
       "ENSG00000237613  1.000000                   0.000000                 \n",
       "ENSG00000268020  0.000000                   0.000000                 \n",
       "ENSG00000240361  0.000000                   0.000000                 \n",
       "ENSG00000186092  0.000000                   0.000000                 \n",
       "ENSG00000238009  7.108524                   7.139551                 \n",
       "ENSG00000239945  0.000000                   0.000000                 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ccl[1:10, ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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LnzwoULK75a+DEIdgAAANVCixYthELh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\nbdEAAACuJSjsWpzoS2OMOnRIYoydP3/+/PnzjLFu3ZJFD1k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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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6ku3RI3W7vHbja3qS4dP9Wey1xOpwcaZzfVLSQ/4KFoU12In4+uoy10raHkwOH8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\n",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#smoothScatter(ccl[,1], ccl[,2])\n",
    "plot(ccl[,1], ccl[,2], cex=0.3)\n",
    "idx <- which(ccl[,1]<2 & ccl[,2]<5)\n",
    "points(ccl[idx,1], ccl[idx,2], col=\"blue\")\n",
    "smoothScatter(ccl[,1], ccl[,2])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Adjust the column names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "34983"
      ],
      "text/latex": [
       "34983"
      ],
      "text/markdown": [
       "34983"
      ],
      "text/plain": [
       "[1] 34983"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style>\n",
       ".list-inline {list-style: none; margin:0; padding: 0}\n",
       ".list-inline>li {display: inline-block}\n",
       ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
       "</style>\n",
       "<ol class=list-inline><li>57992</li><li>12</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 57992\n",
       "\\item 12\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 57992\n",
       "2. 12\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] 57992    12"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "length(idx)\n",
    "dim(cc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "tmp <- colnames(cc)\n",
    "colnames(cc) <- sapply(tmp, function(x) substr(x, 14, 22))\n",
    "colnames(ccl) <- sapply(tmp, function(x) substr(x, 14, 22))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 12</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>mfc_cnt_1</th><th scope=col>mfc_cnt_2</th><th scope=col>mfc_cnt_3</th><th scope=col>mfc_dac_1</th><th scope=col>mfc_dac_2</th><th scope=col>mfc_dac_3</th><th scope=col>yb5_cnt_1</th><th scope=col>yb5_cnt_2</th><th scope=col>yb5_cnt_3</th><th scope=col>yb5_dac_1</th><th scope=col>yb5_dac_2</th><th scope=col>yb5_dac_3</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>ENSG00000223972</th><td>  11</td><td>  18</td><td>  55</td><td>  46</td><td>  57</td><td>  56</td><td>  59</td><td>  35</td><td>  32</td><td> 278</td><td> 203</td><td> 215</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000227232</th><td>2089</td><td>2441</td><td>7559</td><td>3644</td><td>4172</td><td>4329</td><td>4055</td><td>2568</td><td>2568</td><td>6803</td><td>4957</td><td>5629</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000278267</th><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000243485</th><td>   2</td><td>   3</td><td>   8</td><td>   8</td><td>  11</td><td>  13</td><td>  12</td><td>   7</td><td>   9</td><td>  33</td><td>  26</td><td>  23</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000237613</th><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   1</td><td>   0</td><td>   0</td><td>   2</td><td>   1</td><td>   0</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000268020</th><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   1</td><td>   0</td><td>   0</td><td>   0</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 12\n",
       "\\begin{tabular}{r|llllllllllll}\n",
       "  & mfc\\_cnt\\_1 & mfc\\_cnt\\_2 & mfc\\_cnt\\_3 & mfc\\_dac\\_1 & mfc\\_dac\\_2 & mfc\\_dac\\_3 & yb5\\_cnt\\_1 & yb5\\_cnt\\_2 & yb5\\_cnt\\_3 & yb5\\_dac\\_1 & yb5\\_dac\\_2 & yb5\\_dac\\_3\\\\\n",
       "  & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\tENSG00000223972 &   11 &   18 &   55 &   46 &   57 &   56 &   59 &   35 &   32 &  278 &  203 &  215\\\\\n",
       "\tENSG00000227232 & 2089 & 2441 & 7559 & 3644 & 4172 & 4329 & 4055 & 2568 & 2568 & 6803 & 4957 & 5629\\\\\n",
       "\tENSG00000278267 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0\\\\\n",
       "\tENSG00000243485 &    2 &    3 &    8 &    8 &   11 &   13 &   12 &    7 &    9 &   33 &   26 &   23\\\\\n",
       "\tENSG00000237613 &    0 &    0 &    0 &    0 &    0 &    0 &    1 &    0 &    0 &    2 &    1 &    0\\\\\n",
       "\tENSG00000268020 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    1 &    0 &    0 &    0\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 12\n",
       "\n",
       "| <!--/--> | mfc_cnt_1 &lt;int&gt; | mfc_cnt_2 &lt;int&gt; | mfc_cnt_3 &lt;int&gt; | mfc_dac_1 &lt;int&gt; | mfc_dac_2 &lt;int&gt; | mfc_dac_3 &lt;int&gt; | yb5_cnt_1 &lt;int&gt; | yb5_cnt_2 &lt;int&gt; | yb5_cnt_3 &lt;int&gt; | yb5_dac_1 &lt;int&gt; | yb5_dac_2 &lt;int&gt; | yb5_dac_3 &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| ENSG00000223972 |   11 |   18 |   55 |   46 |   57 |   56 |   59 |   35 |   32 |  278 |  203 |  215 |\n",
       "| ENSG00000227232 | 2089 | 2441 | 7559 | 3644 | 4172 | 4329 | 4055 | 2568 | 2568 | 6803 | 4957 | 5629 |\n",
       "| ENSG00000278267 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |\n",
       "| ENSG00000243485 |    2 |    3 |    8 |    8 |   11 |   13 |   12 |    7 |    9 |   33 |   26 |   23 |\n",
       "| ENSG00000237613 |    0 |    0 |    0 |    0 |    0 |    0 |    1 |    0 |    0 |    2 |    1 |    0 |\n",
       "| ENSG00000268020 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    1 |    0 |    0 |    0 |\n",
       "\n"
      ],
      "text/plain": [
       "                mfc_cnt_1 mfc_cnt_2 mfc_cnt_3 mfc_dac_1 mfc_dac_2 mfc_dac_3\n",
       "ENSG00000223972   11        18        55        46        57        56     \n",
       "ENSG00000227232 2089      2441      7559      3644      4172      4329     \n",
       "ENSG00000278267    0         0         0         0         0         0     \n",
       "ENSG00000243485    2         3         8         8        11        13     \n",
       "ENSG00000237613    0         0         0         0         0         0     \n",
       "ENSG00000268020    0         0         0         0         0         0     \n",
       "                yb5_cnt_1 yb5_cnt_2 yb5_cnt_3 yb5_dac_1 yb5_dac_2 yb5_dac_3\n",
       "ENSG00000223972   59        35        32       278       203       215     \n",
       "ENSG00000227232 4055      2568      2568      6803      4957      5629     \n",
       "ENSG00000278267    0         0         0         0         0         0     \n",
       "ENSG00000243485   12         7         9        33        26        23     \n",
       "ENSG00000237613    1         0         0         2         1         0     \n",
       "ENSG00000268020    0         0         1         0         0         0     "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "head(cc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A matrix: 6 × 12 of type dbl</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>mfc_cnt_1</th><th scope=col>mfc_cnt_2</th><th scope=col>mfc_cnt_3</th><th scope=col>mfc_dac_1</th><th scope=col>mfc_dac_2</th><th scope=col>mfc_dac_3</th><th scope=col>yb5_cnt_1</th><th scope=col>yb5_cnt_2</th><th scope=col>yb5_cnt_3</th><th scope=col>yb5_dac_1</th><th scope=col>yb5_dac_2</th><th scope=col>yb5_dac_3</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>ENSG00000223972</th><td> 3.584963</td><td> 4.247928</td><td> 5.807355</td><td> 5.554589</td><td> 5.857981</td><td> 5.832890</td><td> 5.906891</td><td> 5.169925</td><td> 5.044394</td><td> 8.124121</td><td> 7.672425</td><td> 7.754888</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000227232</th><td>11.029287</td><td>11.253847</td><td>12.884171</td><td>11.831703</td><td>12.026869</td><td>12.080151</td><td>11.985842</td><td>11.326991</td><td>11.326991</td><td>12.732167</td><td>12.275543</td><td>12.458919</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000278267</th><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000243485</th><td> 1.584963</td><td> 2.000000</td><td> 3.169925</td><td> 3.169925</td><td> 3.584963</td><td> 3.807355</td><td> 3.700440</td><td> 3.000000</td><td> 3.321928</td><td> 5.087463</td><td> 4.754888</td><td> 4.584963</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000237613</th><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 1.000000</td><td> 0.000000</td><td> 0.000000</td><td> 1.584963</td><td> 1.000000</td><td> 0.000000</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000268020</th><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td><td> 1.000000</td><td> 0.000000</td><td> 0.000000</td><td> 0.000000</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A matrix: 6 × 12 of type dbl\n",
       "\\begin{tabular}{r|llllllllllll}\n",
       "  & mfc\\_cnt\\_1 & mfc\\_cnt\\_2 & mfc\\_cnt\\_3 & mfc\\_dac\\_1 & mfc\\_dac\\_2 & mfc\\_dac\\_3 & yb5\\_cnt\\_1 & yb5\\_cnt\\_2 & yb5\\_cnt\\_3 & yb5\\_dac\\_1 & yb5\\_dac\\_2 & yb5\\_dac\\_3\\\\\n",
       "\\hline\n",
       "\tENSG00000223972 &  3.584963 &  4.247928 &  5.807355 &  5.554589 &  5.857981 &  5.832890 &  5.906891 &  5.169925 &  5.044394 &  8.124121 &  7.672425 &  7.754888\\\\\n",
       "\tENSG00000227232 & 11.029287 & 11.253847 & 12.884171 & 11.831703 & 12.026869 & 12.080151 & 11.985842 & 11.326991 & 11.326991 & 12.732167 & 12.275543 & 12.458919\\\\\n",
       "\tENSG00000278267 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000\\\\\n",
       "\tENSG00000243485 &  1.584963 &  2.000000 &  3.169925 &  3.169925 &  3.584963 &  3.807355 &  3.700440 &  3.000000 &  3.321928 &  5.087463 &  4.754888 &  4.584963\\\\\n",
       "\tENSG00000237613 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  1.000000 &  0.000000 &  0.000000 &  1.584963 &  1.000000 &  0.000000\\\\\n",
       "\tENSG00000268020 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  0.000000 &  1.000000 &  0.000000 &  0.000000 &  0.000000\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A matrix: 6 × 12 of type dbl\n",
       "\n",
       "| <!--/--> | mfc_cnt_1 | mfc_cnt_2 | mfc_cnt_3 | mfc_dac_1 | mfc_dac_2 | mfc_dac_3 | yb5_cnt_1 | yb5_cnt_2 | yb5_cnt_3 | yb5_dac_1 | yb5_dac_2 | yb5_dac_3 |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| ENSG00000223972 |  3.584963 |  4.247928 |  5.807355 |  5.554589 |  5.857981 |  5.832890 |  5.906891 |  5.169925 |  5.044394 |  8.124121 |  7.672425 |  7.754888 |\n",
       "| ENSG00000227232 | 11.029287 | 11.253847 | 12.884171 | 11.831703 | 12.026869 | 12.080151 | 11.985842 | 11.326991 | 11.326991 | 12.732167 | 12.275543 | 12.458919 |\n",
       "| ENSG00000278267 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |\n",
       "| ENSG00000243485 |  1.584963 |  2.000000 |  3.169925 |  3.169925 |  3.584963 |  3.807355 |  3.700440 |  3.000000 |  3.321928 |  5.087463 |  4.754888 |  4.584963 |\n",
       "| ENSG00000237613 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  1.000000 |  0.000000 |  0.000000 |  1.584963 |  1.000000 |  0.000000 |\n",
       "| ENSG00000268020 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  0.000000 |  1.000000 |  0.000000 |  0.000000 |  0.000000 |\n",
       "\n"
      ],
      "text/plain": [
       "                mfc_cnt_1 mfc_cnt_2 mfc_cnt_3 mfc_dac_1 mfc_dac_2 mfc_dac_3\n",
       "ENSG00000223972  3.584963  4.247928  5.807355  5.554589  5.857981  5.832890\n",
       "ENSG00000227232 11.029287 11.253847 12.884171 11.831703 12.026869 12.080151\n",
       "ENSG00000278267  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000\n",
       "ENSG00000243485  1.584963  2.000000  3.169925  3.169925  3.584963  3.807355\n",
       "ENSG00000237613  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000\n",
       "ENSG00000268020  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000\n",
       "                yb5_cnt_1 yb5_cnt_2 yb5_cnt_3 yb5_dac_1 yb5_dac_2 yb5_dac_3\n",
       "ENSG00000223972  5.906891  5.169925  5.044394  8.124121  7.672425  7.754888\n",
       "ENSG00000227232 11.985842 11.326991 11.326991 12.732167 12.275543 12.458919\n",
       "ENSG00000278267  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000\n",
       "ENSG00000243485  3.700440  3.000000  3.321928  5.087463  4.754888  4.584963\n",
       "ENSG00000237613  1.000000  0.000000  0.000000  1.584963  1.000000  0.000000\n",
       "ENSG00000268020  0.000000  0.000000  1.000000  0.000000  0.000000  0.000000"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "head(ccl)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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hEKhQ4ODtOnT9+3b9++ffumT5/u4OAg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tvX379vz8/AMHDpBt2mnx8OFDAGjZsqWt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\nCIIdAACAI/4/nddv0IVFg1gAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "boxplot(ccl\n",
    "       )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Read the design metadata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 12 × 3</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>FileName</th><th scope=col>celline</th><th scope=col>treatment</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>mfc_cnt_1</th><td>mfc_cnt_1</td><td>mfc</td><td>cnt</td></tr>\n",
       "\t<tr><th scope=row>mfc_cnt_2</th><td>mfc_cnt_2</td><td>mfc</td><td>cnt</td></tr>\n",
       "\t<tr><th scope=row>mfc_cnt_3</th><td>mfc_cnt_3</td><td>mfc</td><td>cnt</td></tr>\n",
       "\t<tr><th scope=row>mfc_dac_1</th><td>mfc_dac_1</td><td>mfc</td><td>dac</td></tr>\n",
       "\t<tr><th scope=row>mfc_dac_2</th><td>mfc_dac_2</td><td>mfc</td><td>dac</td></tr>\n",
       "\t<tr><th scope=row>mfc_dac_3</th><td>mfc_dac_3</td><td>mfc</td><td>dac</td></tr>\n",
       "\t<tr><th scope=row>yb5_cnt_1</th><td>yb5_cnt_1</td><td>yb5</td><td>cnt</td></tr>\n",
       "\t<tr><th scope=row>yb5_cnt_2</th><td>yb5_cnt_2</td><td>yb5</td><td>cnt</td></tr>\n",
       "\t<tr><th scope=row>yb5_cnt_3</th><td>yb5_cnt_3</td><td>yb5</td><td>cnt</td></tr>\n",
       "\t<tr><th scope=row>yb5_dac_1</th><td>yb5_dac_1</td><td>yb5</td><td>cnt</td></tr>\n",
       "\t<tr><th scope=row>yb5_dac_2</th><td>yb5_dac_2</td><td>yb5</td><td>cnt</td></tr>\n",
       "\t<tr><th scope=row>yb5_dac_3</th><td>yb5_dac_3</td><td>yb5</td><td>cnt</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 12 × 3\n",
       "\\begin{tabular}{r|lll}\n",
       "  & FileName & celline & treatment\\\\\n",
       "  & <chr> & <chr> & <chr>\\\\\n",
       "\\hline\n",
       "\tmfc\\_cnt\\_1 & mfc\\_cnt\\_1 & mfc & cnt\\\\\n",
       "\tmfc\\_cnt\\_2 & mfc\\_cnt\\_2 & mfc & cnt\\\\\n",
       "\tmfc\\_cnt\\_3 & mfc\\_cnt\\_3 & mfc & cnt\\\\\n",
       "\tmfc\\_dac\\_1 & mfc\\_dac\\_1 & mfc & dac\\\\\n",
       "\tmfc\\_dac\\_2 & mfc\\_dac\\_2 & mfc & dac\\\\\n",
       "\tmfc\\_dac\\_3 & mfc\\_dac\\_3 & mfc & dac\\\\\n",
       "\tyb5\\_cnt\\_1 & yb5\\_cnt\\_1 & yb5 & cnt\\\\\n",
       "\tyb5\\_cnt\\_2 & yb5\\_cnt\\_2 & yb5 & cnt\\\\\n",
       "\tyb5\\_cnt\\_3 & yb5\\_cnt\\_3 & yb5 & cnt\\\\\n",
       "\tyb5\\_dac\\_1 & yb5\\_dac\\_1 & yb5 & cnt\\\\\n",
       "\tyb5\\_dac\\_2 & yb5\\_dac\\_2 & yb5 & cnt\\\\\n",
       "\tyb5\\_dac\\_3 & yb5\\_dac\\_3 & yb5 & cnt\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 12 × 3\n",
       "\n",
       "| <!--/--> | FileName &lt;chr&gt; | celline &lt;chr&gt; | treatment &lt;chr&gt; |\n",
       "|---|---|---|---|\n",
       "| mfc_cnt_1 | mfc_cnt_1 | mfc | cnt |\n",
       "| mfc_cnt_2 | mfc_cnt_2 | mfc | cnt |\n",
       "| mfc_cnt_3 | mfc_cnt_3 | mfc | cnt |\n",
       "| mfc_dac_1 | mfc_dac_1 | mfc | dac |\n",
       "| mfc_dac_2 | mfc_dac_2 | mfc | dac |\n",
       "| mfc_dac_3 | mfc_dac_3 | mfc | dac |\n",
       "| yb5_cnt_1 | yb5_cnt_1 | yb5 | cnt |\n",
       "| yb5_cnt_2 | yb5_cnt_2 | yb5 | cnt |\n",
       "| yb5_cnt_3 | yb5_cnt_3 | yb5 | cnt |\n",
       "| yb5_dac_1 | yb5_dac_1 | yb5 | cnt |\n",
       "| yb5_dac_2 | yb5_dac_2 | yb5 | cnt |\n",
       "| yb5_dac_3 | yb5_dac_3 | yb5 | cnt |\n",
       "\n"
      ],
      "text/plain": [
       "          FileName  celline treatment\n",
       "mfc_cnt_1 mfc_cnt_1 mfc     cnt      \n",
       "mfc_cnt_2 mfc_cnt_2 mfc     cnt      \n",
       "mfc_cnt_3 mfc_cnt_3 mfc     cnt      \n",
       "mfc_dac_1 mfc_dac_1 mfc     dac      \n",
       "mfc_dac_2 mfc_dac_2 mfc     dac      \n",
       "mfc_dac_3 mfc_dac_3 mfc     dac      \n",
       "yb5_cnt_1 yb5_cnt_1 yb5     cnt      \n",
       "yb5_cnt_2 yb5_cnt_2 yb5     cnt      \n",
       "yb5_cnt_3 yb5_cnt_3 yb5     cnt      \n",
       "yb5_dac_1 yb5_dac_1 yb5     cnt      \n",
       "yb5_dac_2 yb5_dac_2 yb5     cnt      \n",
       "yb5_dac_3 yb5_dac_3 yb5     cnt      "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "meta <- read.table(\"metadata.txt\", sep=\"\\t\", header=T)\n",
    "rownames(meta) <- as.character(meta[,1])\n",
    "o <- order(rownames(meta))\n",
    "meta <- meta[o, ]\n",
    "meta"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "targets <- meta[, c(\"celline\", \"treatment\")]\n",
    "targets <- as.data.frame(targets)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 12 × 2</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>celline</th><th scope=col>treatment</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>mfc_cnt_1</th><td>mfc</td><td>cnt</td></tr>\n",
       "\t<tr><th scope=row>mfc_cnt_2</th><td>mfc</td><td>cnt</td></tr>\n",
       "\t<tr><th scope=row>mfc_cnt_3</th><td>mfc</td><td>cnt</td></tr>\n",
       "\t<tr><th scope=row>mfc_dac_1</th><td>mfc</td><td>dac</td></tr>\n",
       "\t<tr><th scope=row>mfc_dac_2</th><td>mfc</td><td>dac</td></tr>\n",
       "\t<tr><th scope=row>mfc_dac_3</th><td>mfc</td><td>dac</td></tr>\n",
       "\t<tr><th scope=row>yb5_cnt_1</th><td>yb5</td><td>cnt</td></tr>\n",
       "\t<tr><th scope=row>yb5_cnt_2</th><td>yb5</td><td>cnt</td></tr>\n",
       "\t<tr><th scope=row>yb5_cnt_3</th><td>yb5</td><td>cnt</td></tr>\n",
       "\t<tr><th scope=row>yb5_dac_1</th><td>yb5</td><td>cnt</td></tr>\n",
       "\t<tr><th scope=row>yb5_dac_2</th><td>yb5</td><td>cnt</td></tr>\n",
       "\t<tr><th scope=row>yb5_dac_3</th><td>yb5</td><td>cnt</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 12 × 2\n",
       "\\begin{tabular}{r|ll}\n",
       "  & celline & treatment\\\\\n",
       "  & <chr> & <chr>\\\\\n",
       "\\hline\n",
       "\tmfc\\_cnt\\_1 & mfc & cnt\\\\\n",
       "\tmfc\\_cnt\\_2 & mfc & cnt\\\\\n",
       "\tmfc\\_cnt\\_3 & mfc & cnt\\\\\n",
       "\tmfc\\_dac\\_1 & mfc & dac\\\\\n",
       "\tmfc\\_dac\\_2 & mfc & dac\\\\\n",
       "\tmfc\\_dac\\_3 & mfc & dac\\\\\n",
       "\tyb5\\_cnt\\_1 & yb5 & cnt\\\\\n",
       "\tyb5\\_cnt\\_2 & yb5 & cnt\\\\\n",
       "\tyb5\\_cnt\\_3 & yb5 & cnt\\\\\n",
       "\tyb5\\_dac\\_1 & yb5 & cnt\\\\\n",
       "\tyb5\\_dac\\_2 & yb5 & cnt\\\\\n",
       "\tyb5\\_dac\\_3 & yb5 & cnt\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 12 × 2\n",
       "\n",
       "| <!--/--> | celline &lt;chr&gt; | treatment &lt;chr&gt; |\n",
       "|---|---|---|\n",
       "| mfc_cnt_1 | mfc | cnt |\n",
       "| mfc_cnt_2 | mfc | cnt |\n",
       "| mfc_cnt_3 | mfc | cnt |\n",
       "| mfc_dac_1 | mfc | dac |\n",
       "| mfc_dac_2 | mfc | dac |\n",
       "| mfc_dac_3 | mfc | dac |\n",
       "| yb5_cnt_1 | yb5 | cnt |\n",
       "| yb5_cnt_2 | yb5 | cnt |\n",
       "| yb5_cnt_3 | yb5 | cnt |\n",
       "| yb5_dac_1 | yb5 | cnt |\n",
       "| yb5_dac_2 | yb5 | cnt |\n",
       "| yb5_dac_3 | yb5 | cnt |\n",
       "\n"
      ],
      "text/plain": [
       "          celline treatment\n",
       "mfc_cnt_1 mfc     cnt      \n",
       "mfc_cnt_2 mfc     cnt      \n",
       "mfc_cnt_3 mfc     cnt      \n",
       "mfc_dac_1 mfc     dac      \n",
       "mfc_dac_2 mfc     dac      \n",
       "mfc_dac_3 mfc     dac      \n",
       "yb5_cnt_1 yb5     cnt      \n",
       "yb5_cnt_2 yb5     cnt      \n",
       "yb5_cnt_3 yb5     cnt      \n",
       "yb5_dac_1 yb5     cnt      \n",
       "yb5_dac_2 yb5     cnt      \n",
       "yb5_dac_3 yb5     cnt      "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "targets"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create design object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "Treat <- factor(paste(targets$celline,targets$treatment,sep=\".\"))\n",
    "design <- model.matrix(~0+Treat)\n",
    "colnames(design) <- levels(Treat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A matrix: 12 × 3 of type dbl</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>mfc.cnt</th><th scope=col>mfc.dac</th><th scope=col>yb5.cnt</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>1</td><td>0</td><td>0</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>1</td><td>0</td><td>0</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>1</td><td>0</td><td>0</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>0</td><td>1</td><td>0</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>0</td><td>1</td><td>0</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>0</td><td>1</td><td>0</td></tr>\n",
       "\t<tr><th scope=row>7</th><td>0</td><td>0</td><td>1</td></tr>\n",
       "\t<tr><th scope=row>8</th><td>0</td><td>0</td><td>1</td></tr>\n",
       "\t<tr><th scope=row>9</th><td>0</td><td>0</td><td>1</td></tr>\n",
       "\t<tr><th scope=row>10</th><td>0</td><td>0</td><td>1</td></tr>\n",
       "\t<tr><th scope=row>11</th><td>0</td><td>0</td><td>1</td></tr>\n",
       "\t<tr><th scope=row>12</th><td>0</td><td>0</td><td>1</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A matrix: 12 × 3 of type dbl\n",
       "\\begin{tabular}{r|lll}\n",
       "  & mfc.cnt & mfc.dac & yb5.cnt\\\\\n",
       "\\hline\n",
       "\t1 & 1 & 0 & 0\\\\\n",
       "\t2 & 1 & 0 & 0\\\\\n",
       "\t3 & 1 & 0 & 0\\\\\n",
       "\t4 & 0 & 1 & 0\\\\\n",
       "\t5 & 0 & 1 & 0\\\\\n",
       "\t6 & 0 & 1 & 0\\\\\n",
       "\t7 & 0 & 0 & 1\\\\\n",
       "\t8 & 0 & 0 & 1\\\\\n",
       "\t9 & 0 & 0 & 1\\\\\n",
       "\t10 & 0 & 0 & 1\\\\\n",
       "\t11 & 0 & 0 & 1\\\\\n",
       "\t12 & 0 & 0 & 1\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A matrix: 12 × 3 of type dbl\n",
       "\n",
       "| <!--/--> | mfc.cnt | mfc.dac | yb5.cnt |\n",
       "|---|---|---|---|\n",
       "| 1 | 1 | 0 | 0 |\n",
       "| 2 | 1 | 0 | 0 |\n",
       "| 3 | 1 | 0 | 0 |\n",
       "| 4 | 0 | 1 | 0 |\n",
       "| 5 | 0 | 1 | 0 |\n",
       "| 6 | 0 | 1 | 0 |\n",
       "| 7 | 0 | 0 | 1 |\n",
       "| 8 | 0 | 0 | 1 |\n",
       "| 9 | 0 | 0 | 1 |\n",
       "| 10 | 0 | 0 | 1 |\n",
       "| 11 | 0 | 0 | 1 |\n",
       "| 12 | 0 | 0 | 1 |\n",
       "\n"
      ],
      "text/plain": [
       "   mfc.cnt mfc.dac yb5.cnt\n",
       "1  1       0       0      \n",
       "2  1       0       0      \n",
       "3  1       0       0      \n",
       "4  0       1       0      \n",
       "5  0       1       0      \n",
       "6  0       1       0      \n",
       "7  0       0       1      \n",
       "8  0       0       1      \n",
       "9  0       0       1      \n",
       "10 0       0       1      \n",
       "11 0       0       1      \n",
       "12 0       0       1      "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "design"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Do the dispersion estimate and model fitting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "y <- DGEList(counts=cc)\n",
    "y <- estimateDisp(y, design)\n",
    "fit <- glmFit(y, design)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Set up the biological question with a contrast"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A matrix: 3 × 1 of type dbl</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>mfc.cnt - mfc.dac</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>mfc.cnt</th><td> 1</td></tr>\n",
       "\t<tr><th scope=row>mfc.dac</th><td>-1</td></tr>\n",
       "\t<tr><th scope=row>yb5.cnt</th><td> 0</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A matrix: 3 × 1 of type dbl\n",
       "\\begin{tabular}{r|l}\n",
       "  & mfc.cnt - mfc.dac\\\\\n",
       "\\hline\n",
       "\tmfc.cnt &  1\\\\\n",
       "\tmfc.dac & -1\\\\\n",
       "\tyb5.cnt &  0\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A matrix: 3 × 1 of type dbl\n",
       "\n",
       "| <!--/--> | mfc.cnt - mfc.dac |\n",
       "|---|---|\n",
       "| mfc.cnt |  1 |\n",
       "| mfc.dac | -1 |\n",
       "| yb5.cnt |  0 |\n",
       "\n"
      ],
      "text/plain": [
       "         Contrasts\n",
       "Levels    mfc.cnt - mfc.dac\n",
       "  mfc.cnt  1               \n",
       "  mfc.dac -1               \n",
       "  yb5.cnt  0               "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cm <- makeContrasts( mfc.cnt-mfc.dac, levels=design)\n",
    "cm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Do the model fit and get top genes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "lrt <- glmLRT(fit, contrast=cm)\n",
    "topOnes <- topTags(lrt, n=dim(cc)[1])$table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 50 × 5</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>logFC</th><th scope=col>logCPM</th><th scope=col>LR</th><th scope=col>PValue</th><th scope=col>FDR</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>ENSG00000233276</th><td>-5.703099</td><td> 5.9162987</td><td>243.92073</td><td>5.493388e-55</td><td>3.185726e-50</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000141756</th><td>-2.501588</td><td> 6.0074403</td><td>193.90297</td><td>4.471368e-44</td><td>1.296518e-39</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000226383</th><td>-5.534574</td><td> 3.5313765</td><td>173.87071</td><td>1.056378e-39</td><td>2.042050e-35</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000164850</th><td>-2.078655</td><td> 5.0686256</td><td>173.16300</td><td>1.507899e-39</td><td>2.186152e-35</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000084207</th><td>-4.253757</td><td> 8.2322890</td><td>170.89071</td><td>4.727468e-39</td><td>5.483106e-35</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000163362</th><td>-2.521056</td><td> 5.2121847</td><td>151.69374</td><td>7.392005e-35</td><td>7.144619e-31</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000135926</th><td>-2.922313</td><td> 5.4675657</td><td>149.71721</td><td>1.998809e-34</td><td>1.540543e-30</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000104870</th><td>-3.433664</td><td> 3.5342194</td><td>149.59540</td><td>2.125180e-34</td><td>1.540543e-30</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000180964</th><td>-4.335465</td><td> 3.5329774</td><td>141.26409</td><td>1.408627e-32</td><td>9.076565e-29</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000104518</th><td>-5.387493</td><td> 3.1888639</td><td>123.85316</td><td>9.071447e-29</td><td>5.260713e-25</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000197582</th><td>-5.278091</td><td> 4.5133934</td><td>116.55376</td><td>3.595004e-27</td><td>1.895286e-23</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000204019</th><td>-9.918227</td><td>-0.6362576</td><td>101.07093</td><td>8.874789e-24</td><td>4.288889e-20</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000182704</th><td>-1.798445</td><td> 5.1259700</td><td> 95.06534</td><td>1.842038e-22</td><td>8.217189e-19</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000105219</th><td>-4.317743</td><td> 0.5699180</td><td> 94.51764</td><td>2.429186e-22</td><td>1.006238e-18</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000102024</th><td>-2.757694</td><td> 4.2441337</td><td> 83.43320</td><td>6.590574e-20</td><td>2.548004e-16</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000172139</th><td>-1.993189</td><td> 4.0623091</td><td> 79.84664</td><td>4.046272e-19</td><td>1.466571e-15</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000160447</th><td>-2.468747</td><td> 3.9630904</td><td> 77.24381</td><td>1.511047e-18</td><td>5.154625e-15</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000206557</th><td>-3.233202</td><td> 0.8473956</td><td> 73.38309</td><td>1.067772e-17</td><td>3.440123e-14</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000142273</th><td>-3.679722</td><td> 2.0576244</td><td> 73.07182</td><td>1.250169e-17</td><td>3.815780e-14</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000185269</th><td>-2.818678</td><td> 7.0564054</td><td> 71.85205</td><td>2.319519e-17</td><td>6.725676e-14</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000100504</th><td>-1.225585</td><td> 6.3600612</td><td> 69.98786</td><td>5.967063e-17</td><td>1.647819e-13</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000141574</th><td>-2.059939</td><td> 2.7079635</td><td> 65.11322</td><td>7.071611e-16</td><td>1.864077e-12</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000180667</th><td>-3.019311</td><td> 3.8312463</td><td> 64.82469</td><td>8.186680e-16</td><td>2.064182e-12</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000229131</th><td>-8.653637</td><td>-1.7872946</td><td> 59.55112</td><td>1.191584e-14</td><td>2.879263e-11</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000105974</th><td> 2.641631</td><td> 6.6239356</td><td> 58.33806</td><td>2.207323e-14</td><td>5.120284e-11</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000166342</th><td>-5.481015</td><td>-1.3646599</td><td> 57.79505</td><td>2.909009e-14</td><td>6.263842e-11</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000182534</th><td>-1.824629</td><td> 5.2405685</td><td> 57.79011</td><td>2.916329e-14</td><td>6.263842e-11</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000074416</th><td>-1.734053</td><td> 3.9329130</td><td> 57.64903</td><td>3.133174e-14</td><td>6.489250e-11</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000173267</th><td>-3.525948</td><td> 1.1458353</td><td> 55.80017</td><td>8.022465e-14</td><td>1.604272e-10</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000136425</th><td>-3.066962</td><td> 2.9669399</td><td> 54.00445</td><td>2.000356e-13</td><td>3.866822e-10</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000100373</th><td>-4.828312</td><td> 0.6886064</td><td> 53.83824</td><td>2.176943e-13</td><td>4.072428e-10</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000157600</th><td> 1.326333</td><td> 5.9063247</td><td> 53.36695</td><td>2.767130e-13</td><td>5.006024e-10</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000211897</th><td>-7.418733</td><td>-2.7777059</td><td> 53.30992</td><td>2.848648e-13</td><td>5.006024e-10</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000006555</th><td>-4.293480</td><td> 3.8714568</td><td> 52.87900</td><td>3.547430e-13</td><td>6.050663e-10</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000162433</th><td> 1.328405</td><td> 4.3254864</td><td> 52.58738</td><td>4.115262e-13</td><td>6.818636e-10</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000251026</th><td>-4.412753</td><td> 0.5830247</td><td> 52.28839</td><td>4.791981e-13</td><td>7.719348e-10</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000114638</th><td>-5.507392</td><td>-1.8435934</td><td> 52.07641</td><td>5.338234e-13</td><td>8.366888e-10</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000126838</th><td>-3.191187</td><td>-1.0053643</td><td> 50.66550</td><td>1.095278e-12</td><td>1.671509e-09</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000269842</th><td>-7.331674</td><td>-2.8392675</td><td> 50.53497</td><td>1.170602e-12</td><td>1.740655e-09</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000156711</th><td>-1.204530</td><td> 4.7882501</td><td> 49.93310</td><td>1.590781e-12</td><td>2.306314e-09</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000211892</th><td>-7.458537</td><td>-1.1134785</td><td> 49.14284</td><td>2.379853e-12</td><td>3.366157e-09</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000095321</th><td>-2.193409</td><td> 4.1892771</td><td> 49.03405</td><td>2.515581e-12</td><td>3.473418e-09</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000230159</th><td>-7.250118</td><td>-2.8993756</td><td> 48.23830</td><td>3.774439e-12</td><td>5.090401e-09</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000107742</th><td>-3.278429</td><td> 1.2324994</td><td> 47.83923</td><td>4.626414e-12</td><td>6.097613e-09</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000129038</th><td>-1.426747</td><td> 4.4651952</td><td> 47.08209</td><td>6.807482e-12</td><td>8.772877e-09</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000237523</th><td>-3.369142</td><td> 1.5944370</td><td> 46.82920</td><td>7.745071e-12</td><td>9.764177e-09</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000137642</th><td>-1.455876</td><td> 6.8786362</td><td> 46.72793</td><td>8.155828e-12</td><td>1.006325e-08</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000261578</th><td>-2.321949</td><td> 1.9443346</td><td> 46.47956</td><td>9.257932e-12</td><td>1.118512e-08</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000249917</th><td>-2.607830</td><td> 1.3151994</td><td> 46.34441</td><td>9.919007e-12</td><td>1.173925e-08</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000134759</th><td> 0.969678</td><td> 7.6116472</td><td> 45.99307</td><td>1.186723e-11</td><td>1.376409e-08</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 50 × 5\n",
       "\\begin{tabular}{r|lllll}\n",
       "  & logFC & logCPM & LR & PValue & FDR\\\\\n",
       "  & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\tENSG00000233276 & -5.703099 &  5.9162987 & 243.92073 & 5.493388e-55 & 3.185726e-50\\\\\n",
       "\tENSG00000141756 & -2.501588 &  6.0074403 & 193.90297 & 4.471368e-44 & 1.296518e-39\\\\\n",
       "\tENSG00000226383 & -5.534574 &  3.5313765 & 173.87071 & 1.056378e-39 & 2.042050e-35\\\\\n",
       "\tENSG00000164850 & -2.078655 &  5.0686256 & 173.16300 & 1.507899e-39 & 2.186152e-35\\\\\n",
       "\tENSG00000084207 & -4.253757 &  8.2322890 & 170.89071 & 4.727468e-39 & 5.483106e-35\\\\\n",
       "\tENSG00000163362 & -2.521056 &  5.2121847 & 151.69374 & 7.392005e-35 & 7.144619e-31\\\\\n",
       "\tENSG00000135926 & -2.922313 &  5.4675657 & 149.71721 & 1.998809e-34 & 1.540543e-30\\\\\n",
       "\tENSG00000104870 & -3.433664 &  3.5342194 & 149.59540 & 2.125180e-34 & 1.540543e-30\\\\\n",
       "\tENSG00000180964 & -4.335465 &  3.5329774 & 141.26409 & 1.408627e-32 & 9.076565e-29\\\\\n",
       "\tENSG00000104518 & -5.387493 &  3.1888639 & 123.85316 & 9.071447e-29 & 5.260713e-25\\\\\n",
       "\tENSG00000197582 & -5.278091 &  4.5133934 & 116.55376 & 3.595004e-27 & 1.895286e-23\\\\\n",
       "\tENSG00000204019 & -9.918227 & -0.6362576 & 101.07093 & 8.874789e-24 & 4.288889e-20\\\\\n",
       "\tENSG00000182704 & -1.798445 &  5.1259700 &  95.06534 & 1.842038e-22 & 8.217189e-19\\\\\n",
       "\tENSG00000105219 & -4.317743 &  0.5699180 &  94.51764 & 2.429186e-22 & 1.006238e-18\\\\\n",
       "\tENSG00000102024 & -2.757694 &  4.2441337 &  83.43320 & 6.590574e-20 & 2.548004e-16\\\\\n",
       "\tENSG00000172139 & -1.993189 &  4.0623091 &  79.84664 & 4.046272e-19 & 1.466571e-15\\\\\n",
       "\tENSG00000160447 & -2.468747 &  3.9630904 &  77.24381 & 1.511047e-18 & 5.154625e-15\\\\\n",
       "\tENSG00000206557 & -3.233202 &  0.8473956 &  73.38309 & 1.067772e-17 & 3.440123e-14\\\\\n",
       "\tENSG00000142273 & -3.679722 &  2.0576244 &  73.07182 & 1.250169e-17 & 3.815780e-14\\\\\n",
       "\tENSG00000185269 & -2.818678 &  7.0564054 &  71.85205 & 2.319519e-17 & 6.725676e-14\\\\\n",
       "\tENSG00000100504 & -1.225585 &  6.3600612 &  69.98786 & 5.967063e-17 & 1.647819e-13\\\\\n",
       "\tENSG00000141574 & -2.059939 &  2.7079635 &  65.11322 & 7.071611e-16 & 1.864077e-12\\\\\n",
       "\tENSG00000180667 & -3.019311 &  3.8312463 &  64.82469 & 8.186680e-16 & 2.064182e-12\\\\\n",
       "\tENSG00000229131 & -8.653637 & -1.7872946 &  59.55112 & 1.191584e-14 & 2.879263e-11\\\\\n",
       "\tENSG00000105974 &  2.641631 &  6.6239356 &  58.33806 & 2.207323e-14 & 5.120284e-11\\\\\n",
       "\tENSG00000166342 & -5.481015 & -1.3646599 &  57.79505 & 2.909009e-14 & 6.263842e-11\\\\\n",
       "\tENSG00000182534 & -1.824629 &  5.2405685 &  57.79011 & 2.916329e-14 & 6.263842e-11\\\\\n",
       "\tENSG00000074416 & -1.734053 &  3.9329130 &  57.64903 & 3.133174e-14 & 6.489250e-11\\\\\n",
       "\tENSG00000173267 & -3.525948 &  1.1458353 &  55.80017 & 8.022465e-14 & 1.604272e-10\\\\\n",
       "\tENSG00000136425 & -3.066962 &  2.9669399 &  54.00445 & 2.000356e-13 & 3.866822e-10\\\\\n",
       "\tENSG00000100373 & -4.828312 &  0.6886064 &  53.83824 & 2.176943e-13 & 4.072428e-10\\\\\n",
       "\tENSG00000157600 &  1.326333 &  5.9063247 &  53.36695 & 2.767130e-13 & 5.006024e-10\\\\\n",
       "\tENSG00000211897 & -7.418733 & -2.7777059 &  53.30992 & 2.848648e-13 & 5.006024e-10\\\\\n",
       "\tENSG00000006555 & -4.293480 &  3.8714568 &  52.87900 & 3.547430e-13 & 6.050663e-10\\\\\n",
       "\tENSG00000162433 &  1.328405 &  4.3254864 &  52.58738 & 4.115262e-13 & 6.818636e-10\\\\\n",
       "\tENSG00000251026 & -4.412753 &  0.5830247 &  52.28839 & 4.791981e-13 & 7.719348e-10\\\\\n",
       "\tENSG00000114638 & -5.507392 & -1.8435934 &  52.07641 & 5.338234e-13 & 8.366888e-10\\\\\n",
       "\tENSG00000126838 & -3.191187 & -1.0053643 &  50.66550 & 1.095278e-12 & 1.671509e-09\\\\\n",
       "\tENSG00000269842 & -7.331674 & -2.8392675 &  50.53497 & 1.170602e-12 & 1.740655e-09\\\\\n",
       "\tENSG00000156711 & -1.204530 &  4.7882501 &  49.93310 & 1.590781e-12 & 2.306314e-09\\\\\n",
       "\tENSG00000211892 & -7.458537 & -1.1134785 &  49.14284 & 2.379853e-12 & 3.366157e-09\\\\\n",
       "\tENSG00000095321 & -2.193409 &  4.1892771 &  49.03405 & 2.515581e-12 & 3.473418e-09\\\\\n",
       "\tENSG00000230159 & -7.250118 & -2.8993756 &  48.23830 & 3.774439e-12 & 5.090401e-09\\\\\n",
       "\tENSG00000107742 & -3.278429 &  1.2324994 &  47.83923 & 4.626414e-12 & 6.097613e-09\\\\\n",
       "\tENSG00000129038 & -1.426747 &  4.4651952 &  47.08209 & 6.807482e-12 & 8.772877e-09\\\\\n",
       "\tENSG00000237523 & -3.369142 &  1.5944370 &  46.82920 & 7.745071e-12 & 9.764177e-09\\\\\n",
       "\tENSG00000137642 & -1.455876 &  6.8786362 &  46.72793 & 8.155828e-12 & 1.006325e-08\\\\\n",
       "\tENSG00000261578 & -2.321949 &  1.9443346 &  46.47956 & 9.257932e-12 & 1.118512e-08\\\\\n",
       "\tENSG00000249917 & -2.607830 &  1.3151994 &  46.34441 & 9.919007e-12 & 1.173925e-08\\\\\n",
       "\tENSG00000134759 &  0.969678 &  7.6116472 &  45.99307 & 1.186723e-11 & 1.376409e-08\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 50 × 5\n",
       "\n",
       "| <!--/--> | logFC &lt;dbl&gt; | logCPM &lt;dbl&gt; | LR &lt;dbl&gt; | PValue &lt;dbl&gt; | FDR &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|\n",
       "| ENSG00000233276 | -5.703099 |  5.9162987 | 243.92073 | 5.493388e-55 | 3.185726e-50 |\n",
       "| ENSG00000141756 | -2.501588 |  6.0074403 | 193.90297 | 4.471368e-44 | 1.296518e-39 |\n",
       "| ENSG00000226383 | -5.534574 |  3.5313765 | 173.87071 | 1.056378e-39 | 2.042050e-35 |\n",
       "| ENSG00000164850 | -2.078655 |  5.0686256 | 173.16300 | 1.507899e-39 | 2.186152e-35 |\n",
       "| ENSG00000084207 | -4.253757 |  8.2322890 | 170.89071 | 4.727468e-39 | 5.483106e-35 |\n",
       "| ENSG00000163362 | -2.521056 |  5.2121847 | 151.69374 | 7.392005e-35 | 7.144619e-31 |\n",
       "| ENSG00000135926 | -2.922313 |  5.4675657 | 149.71721 | 1.998809e-34 | 1.540543e-30 |\n",
       "| ENSG00000104870 | -3.433664 |  3.5342194 | 149.59540 | 2.125180e-34 | 1.540543e-30 |\n",
       "| ENSG00000180964 | -4.335465 |  3.5329774 | 141.26409 | 1.408627e-32 | 9.076565e-29 |\n",
       "| ENSG00000104518 | -5.387493 |  3.1888639 | 123.85316 | 9.071447e-29 | 5.260713e-25 |\n",
       "| ENSG00000197582 | -5.278091 |  4.5133934 | 116.55376 | 3.595004e-27 | 1.895286e-23 |\n",
       "| ENSG00000204019 | -9.918227 | -0.6362576 | 101.07093 | 8.874789e-24 | 4.288889e-20 |\n",
       "| ENSG00000182704 | -1.798445 |  5.1259700 |  95.06534 | 1.842038e-22 | 8.217189e-19 |\n",
       "| ENSG00000105219 | -4.317743 |  0.5699180 |  94.51764 | 2.429186e-22 | 1.006238e-18 |\n",
       "| ENSG00000102024 | -2.757694 |  4.2441337 |  83.43320 | 6.590574e-20 | 2.548004e-16 |\n",
       "| ENSG00000172139 | -1.993189 |  4.0623091 |  79.84664 | 4.046272e-19 | 1.466571e-15 |\n",
       "| ENSG00000160447 | -2.468747 |  3.9630904 |  77.24381 | 1.511047e-18 | 5.154625e-15 |\n",
       "| ENSG00000206557 | -3.233202 |  0.8473956 |  73.38309 | 1.067772e-17 | 3.440123e-14 |\n",
       "| ENSG00000142273 | -3.679722 |  2.0576244 |  73.07182 | 1.250169e-17 | 3.815780e-14 |\n",
       "| ENSG00000185269 | -2.818678 |  7.0564054 |  71.85205 | 2.319519e-17 | 6.725676e-14 |\n",
       "| ENSG00000100504 | -1.225585 |  6.3600612 |  69.98786 | 5.967063e-17 | 1.647819e-13 |\n",
       "| ENSG00000141574 | -2.059939 |  2.7079635 |  65.11322 | 7.071611e-16 | 1.864077e-12 |\n",
       "| ENSG00000180667 | -3.019311 |  3.8312463 |  64.82469 | 8.186680e-16 | 2.064182e-12 |\n",
       "| ENSG00000229131 | -8.653637 | -1.7872946 |  59.55112 | 1.191584e-14 | 2.879263e-11 |\n",
       "| ENSG00000105974 |  2.641631 |  6.6239356 |  58.33806 | 2.207323e-14 | 5.120284e-11 |\n",
       "| ENSG00000166342 | -5.481015 | -1.3646599 |  57.79505 | 2.909009e-14 | 6.263842e-11 |\n",
       "| ENSG00000182534 | -1.824629 |  5.2405685 |  57.79011 | 2.916329e-14 | 6.263842e-11 |\n",
       "| ENSG00000074416 | -1.734053 |  3.9329130 |  57.64903 | 3.133174e-14 | 6.489250e-11 |\n",
       "| ENSG00000173267 | -3.525948 |  1.1458353 |  55.80017 | 8.022465e-14 | 1.604272e-10 |\n",
       "| ENSG00000136425 | -3.066962 |  2.9669399 |  54.00445 | 2.000356e-13 | 3.866822e-10 |\n",
       "| ENSG00000100373 | -4.828312 |  0.6886064 |  53.83824 | 2.176943e-13 | 4.072428e-10 |\n",
       "| ENSG00000157600 |  1.326333 |  5.9063247 |  53.36695 | 2.767130e-13 | 5.006024e-10 |\n",
       "| ENSG00000211897 | -7.418733 | -2.7777059 |  53.30992 | 2.848648e-13 | 5.006024e-10 |\n",
       "| ENSG00000006555 | -4.293480 |  3.8714568 |  52.87900 | 3.547430e-13 | 6.050663e-10 |\n",
       "| ENSG00000162433 |  1.328405 |  4.3254864 |  52.58738 | 4.115262e-13 | 6.818636e-10 |\n",
       "| ENSG00000251026 | -4.412753 |  0.5830247 |  52.28839 | 4.791981e-13 | 7.719348e-10 |\n",
       "| ENSG00000114638 | -5.507392 | -1.8435934 |  52.07641 | 5.338234e-13 | 8.366888e-10 |\n",
       "| ENSG00000126838 | -3.191187 | -1.0053643 |  50.66550 | 1.095278e-12 | 1.671509e-09 |\n",
       "| ENSG00000269842 | -7.331674 | -2.8392675 |  50.53497 | 1.170602e-12 | 1.740655e-09 |\n",
       "| ENSG00000156711 | -1.204530 |  4.7882501 |  49.93310 | 1.590781e-12 | 2.306314e-09 |\n",
       "| ENSG00000211892 | -7.458537 | -1.1134785 |  49.14284 | 2.379853e-12 | 3.366157e-09 |\n",
       "| ENSG00000095321 | -2.193409 |  4.1892771 |  49.03405 | 2.515581e-12 | 3.473418e-09 |\n",
       "| ENSG00000230159 | -7.250118 | -2.8993756 |  48.23830 | 3.774439e-12 | 5.090401e-09 |\n",
       "| ENSG00000107742 | -3.278429 |  1.2324994 |  47.83923 | 4.626414e-12 | 6.097613e-09 |\n",
       "| ENSG00000129038 | -1.426747 |  4.4651952 |  47.08209 | 6.807482e-12 | 8.772877e-09 |\n",
       "| ENSG00000237523 | -3.369142 |  1.5944370 |  46.82920 | 7.745071e-12 | 9.764177e-09 |\n",
       "| ENSG00000137642 | -1.455876 |  6.8786362 |  46.72793 | 8.155828e-12 | 1.006325e-08 |\n",
       "| ENSG00000261578 | -2.321949 |  1.9443346 |  46.47956 | 9.257932e-12 | 1.118512e-08 |\n",
       "| ENSG00000249917 | -2.607830 |  1.3151994 |  46.34441 | 9.919007e-12 | 1.173925e-08 |\n",
       "| ENSG00000134759 |  0.969678 |  7.6116472 |  45.99307 | 1.186723e-11 | 1.376409e-08 |\n",
       "\n"
      ],
      "text/plain": [
       "                logFC     logCPM     LR        PValue       FDR         \n",
       "ENSG00000233276 -5.703099  5.9162987 243.92073 5.493388e-55 3.185726e-50\n",
       "ENSG00000141756 -2.501588  6.0074403 193.90297 4.471368e-44 1.296518e-39\n",
       "ENSG00000226383 -5.534574  3.5313765 173.87071 1.056378e-39 2.042050e-35\n",
       "ENSG00000164850 -2.078655  5.0686256 173.16300 1.507899e-39 2.186152e-35\n",
       "ENSG00000084207 -4.253757  8.2322890 170.89071 4.727468e-39 5.483106e-35\n",
       "ENSG00000163362 -2.521056  5.2121847 151.69374 7.392005e-35 7.144619e-31\n",
       "ENSG00000135926 -2.922313  5.4675657 149.71721 1.998809e-34 1.540543e-30\n",
       "ENSG00000104870 -3.433664  3.5342194 149.59540 2.125180e-34 1.540543e-30\n",
       "ENSG00000180964 -4.335465  3.5329774 141.26409 1.408627e-32 9.076565e-29\n",
       "ENSG00000104518 -5.387493  3.1888639 123.85316 9.071447e-29 5.260713e-25\n",
       "ENSG00000197582 -5.278091  4.5133934 116.55376 3.595004e-27 1.895286e-23\n",
       "ENSG00000204019 -9.918227 -0.6362576 101.07093 8.874789e-24 4.288889e-20\n",
       "ENSG00000182704 -1.798445  5.1259700  95.06534 1.842038e-22 8.217189e-19\n",
       "ENSG00000105219 -4.317743  0.5699180  94.51764 2.429186e-22 1.006238e-18\n",
       "ENSG00000102024 -2.757694  4.2441337  83.43320 6.590574e-20 2.548004e-16\n",
       "ENSG00000172139 -1.993189  4.0623091  79.84664 4.046272e-19 1.466571e-15\n",
       "ENSG00000160447 -2.468747  3.9630904  77.24381 1.511047e-18 5.154625e-15\n",
       "ENSG00000206557 -3.233202  0.8473956  73.38309 1.067772e-17 3.440123e-14\n",
       "ENSG00000142273 -3.679722  2.0576244  73.07182 1.250169e-17 3.815780e-14\n",
       "ENSG00000185269 -2.818678  7.0564054  71.85205 2.319519e-17 6.725676e-14\n",
       "ENSG00000100504 -1.225585  6.3600612  69.98786 5.967063e-17 1.647819e-13\n",
       "ENSG00000141574 -2.059939  2.7079635  65.11322 7.071611e-16 1.864077e-12\n",
       "ENSG00000180667 -3.019311  3.8312463  64.82469 8.186680e-16 2.064182e-12\n",
       "ENSG00000229131 -8.653637 -1.7872946  59.55112 1.191584e-14 2.879263e-11\n",
       "ENSG00000105974  2.641631  6.6239356  58.33806 2.207323e-14 5.120284e-11\n",
       "ENSG00000166342 -5.481015 -1.3646599  57.79505 2.909009e-14 6.263842e-11\n",
       "ENSG00000182534 -1.824629  5.2405685  57.79011 2.916329e-14 6.263842e-11\n",
       "ENSG00000074416 -1.734053  3.9329130  57.64903 3.133174e-14 6.489250e-11\n",
       "ENSG00000173267 -3.525948  1.1458353  55.80017 8.022465e-14 1.604272e-10\n",
       "ENSG00000136425 -3.066962  2.9669399  54.00445 2.000356e-13 3.866822e-10\n",
       "ENSG00000100373 -4.828312  0.6886064  53.83824 2.176943e-13 4.072428e-10\n",
       "ENSG00000157600  1.326333  5.9063247  53.36695 2.767130e-13 5.006024e-10\n",
       "ENSG00000211897 -7.418733 -2.7777059  53.30992 2.848648e-13 5.006024e-10\n",
       "ENSG00000006555 -4.293480  3.8714568  52.87900 3.547430e-13 6.050663e-10\n",
       "ENSG00000162433  1.328405  4.3254864  52.58738 4.115262e-13 6.818636e-10\n",
       "ENSG00000251026 -4.412753  0.5830247  52.28839 4.791981e-13 7.719348e-10\n",
       "ENSG00000114638 -5.507392 -1.8435934  52.07641 5.338234e-13 8.366888e-10\n",
       "ENSG00000126838 -3.191187 -1.0053643  50.66550 1.095278e-12 1.671509e-09\n",
       "ENSG00000269842 -7.331674 -2.8392675  50.53497 1.170602e-12 1.740655e-09\n",
       "ENSG00000156711 -1.204530  4.7882501  49.93310 1.590781e-12 2.306314e-09\n",
       "ENSG00000211892 -7.458537 -1.1134785  49.14284 2.379853e-12 3.366157e-09\n",
       "ENSG00000095321 -2.193409  4.1892771  49.03405 2.515581e-12 3.473418e-09\n",
       "ENSG00000230159 -7.250118 -2.8993756  48.23830 3.774439e-12 5.090401e-09\n",
       "ENSG00000107742 -3.278429  1.2324994  47.83923 4.626414e-12 6.097613e-09\n",
       "ENSG00000129038 -1.426747  4.4651952  47.08209 6.807482e-12 8.772877e-09\n",
       "ENSG00000237523 -3.369142  1.5944370  46.82920 7.745071e-12 9.764177e-09\n",
       "ENSG00000137642 -1.455876  6.8786362  46.72793 8.155828e-12 1.006325e-08\n",
       "ENSG00000261578 -2.321949  1.9443346  46.47956 9.257932e-12 1.118512e-08\n",
       "ENSG00000249917 -2.607830  1.3151994  46.34441 9.919007e-12 1.173925e-08\n",
       "ENSG00000134759  0.969678  7.6116472  45.99307 1.186723e-11 1.376409e-08"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "head(topOnes, n=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>\n",
       ".dl-inline {width: auto; margin:0; padding: 0}\n",
       ".dl-inline>dt, .dl-inline>dd {float: none; width: auto; display: inline-block}\n",
       ".dl-inline>dt::after {content: \":\\0020\"; padding-right: .5ex}\n",
       ".dl-inline>dt:not(:first-of-type) {padding-left: .5ex}\n",
       "</style><dl class=dl-inline><dt>mfc_cnt_1</dt><dd>5.7279204545632</dd><dt>mfc_cnt_2</dt><dd>5.78135971352466</dd><dt>mfc_cnt_3</dt><dd>7.22881869049588</dd><dt>mfc_dac_1</dt><dd>8.67948009950545</dd><dt>mfc_dac_2</dt><dd>8.91886323727459</dd><dt>mfc_dac_3</dt><dd>9.10590850857116</dd><dt>yb5_cnt_1</dt><dd>13.1854949242109</dd><dt>yb5_cnt_2</dt><dd>12.5731737846865</dd><dt>yb5_cnt_3</dt><dd>12.4916026066961</dd><dt>yb5_dac_1</dt><dd>12.7588478031083</dd><dt>yb5_dac_2</dt><dd>12.403544678202</dd><dt>yb5_dac_3</dt><dd>12.5408545321136</dd></dl>\n"
      ],
      "text/latex": [
       "\\begin{description*}\n",
       "\\item[mfc\\textbackslash{}\\_cnt\\textbackslash{}\\_1] 5.7279204545632\n",
       "\\item[mfc\\textbackslash{}\\_cnt\\textbackslash{}\\_2] 5.78135971352466\n",
       "\\item[mfc\\textbackslash{}\\_cnt\\textbackslash{}\\_3] 7.22881869049588\n",
       "\\item[mfc\\textbackslash{}\\_dac\\textbackslash{}\\_1] 8.67948009950545\n",
       "\\item[mfc\\textbackslash{}\\_dac\\textbackslash{}\\_2] 8.91886323727459\n",
       "\\item[mfc\\textbackslash{}\\_dac\\textbackslash{}\\_3] 9.10590850857116\n",
       "\\item[yb5\\textbackslash{}\\_cnt\\textbackslash{}\\_1] 13.1854949242109\n",
       "\\item[yb5\\textbackslash{}\\_cnt\\textbackslash{}\\_2] 12.5731737846865\n",
       "\\item[yb5\\textbackslash{}\\_cnt\\textbackslash{}\\_3] 12.4916026066961\n",
       "\\item[yb5\\textbackslash{}\\_dac\\textbackslash{}\\_1] 12.7588478031083\n",
       "\\item[yb5\\textbackslash{}\\_dac\\textbackslash{}\\_2] 12.403544678202\n",
       "\\item[yb5\\textbackslash{}\\_dac\\textbackslash{}\\_3] 12.5408545321136\n",
       "\\end{description*}\n"
      ],
      "text/markdown": [
       "mfc_cnt_1\n",
       ":   5.7279204545632mfc_cnt_2\n",
       ":   5.78135971352466mfc_cnt_3\n",
       ":   7.22881869049588mfc_dac_1\n",
       ":   8.67948009950545mfc_dac_2\n",
       ":   8.91886323727459mfc_dac_3\n",
       ":   9.10590850857116yb5_cnt_1\n",
       ":   13.1854949242109yb5_cnt_2\n",
       ":   12.5731737846865yb5_cnt_3\n",
       ":   12.4916026066961yb5_dac_1\n",
       ":   12.7588478031083yb5_dac_2\n",
       ":   12.403544678202yb5_dac_3\n",
       ":   12.5408545321136\n",
       "\n"
      ],
      "text/plain": [
       "mfc_cnt_1 mfc_cnt_2 mfc_cnt_3 mfc_dac_1 mfc_dac_2 mfc_dac_3 yb5_cnt_1 yb5_cnt_2 \n",
       " 5.727920  5.781360  7.228819  8.679480  8.918863  9.105909 13.185495 12.573174 \n",
       "yb5_cnt_3 yb5_dac_1 yb5_dac_2 yb5_dac_3 \n",
       "12.491603 12.758848 12.403545 12.540855 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ccl[\"ENSG00000141756\", ]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Simple pairwise comparison"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "cc2 <- cc[,1:6]\n",
    "group <- factor(c(1,1,1,2,2,2))\n",
    "y <- DGEList(counts=cc2,group=group)\n",
    "y <- calcNormFactors(y)\n",
    "design <- model.matrix(~group)\n",
    "y <- estimateDisp(y,design)\n",
    "\n",
    "fit <- glmFit(y,design)\n",
    "lrt <- glmLRT(fit)\n",
    "topOnes_pairwise <- topTags(lrt, n=dim(cc2)[1])$table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 5</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>logFC</th><th scope=col>logCPM</th><th scope=col>LR</th><th scope=col>PValue</th><th scope=col>FDR</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>ENSG00000130600</th><td> 5.505566</td><td>9.008124</td><td>1041.4478</td><td>1.758697e-228</td><td>1.019903e-223</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000135480</th><td> 4.606337</td><td>5.098251</td><td> 792.1216</td><td>2.786028e-174</td><td>8.078366e-170</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000070985</th><td> 6.610261</td><td>2.469754</td><td> 625.4816</td><td>4.803161e-138</td><td>9.284831e-134</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000147174</th><td> 3.857756</td><td>3.692567</td><td> 606.1356</td><td>7.749302e-134</td><td>1.123494e-129</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000105974</th><td>-2.766143</td><td>5.721369</td><td> 605.2399</td><td>1.213603e-133</td><td>1.407585e-129</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000198883</th><td> 7.718994</td><td>2.154230</td><td> 589.9396</td><td>2.582475e-130</td><td>2.496048e-126</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 5\n",
       "\\begin{tabular}{r|lllll}\n",
       "  & logFC & logCPM & LR & PValue & FDR\\\\\n",
       "  & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\tENSG00000130600 &  5.505566 & 9.008124 & 1041.4478 & 1.758697e-228 & 1.019903e-223\\\\\n",
       "\tENSG00000135480 &  4.606337 & 5.098251 &  792.1216 & 2.786028e-174 & 8.078366e-170\\\\\n",
       "\tENSG00000070985 &  6.610261 & 2.469754 &  625.4816 & 4.803161e-138 & 9.284831e-134\\\\\n",
       "\tENSG00000147174 &  3.857756 & 3.692567 &  606.1356 & 7.749302e-134 & 1.123494e-129\\\\\n",
       "\tENSG00000105974 & -2.766143 & 5.721369 &  605.2399 & 1.213603e-133 & 1.407585e-129\\\\\n",
       "\tENSG00000198883 &  7.718994 & 2.154230 &  589.9396 & 2.582475e-130 & 2.496048e-126\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 5\n",
       "\n",
       "| <!--/--> | logFC &lt;dbl&gt; | logCPM &lt;dbl&gt; | LR &lt;dbl&gt; | PValue &lt;dbl&gt; | FDR &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|\n",
       "| ENSG00000130600 |  5.505566 | 9.008124 | 1041.4478 | 1.758697e-228 | 1.019903e-223 |\n",
       "| ENSG00000135480 |  4.606337 | 5.098251 |  792.1216 | 2.786028e-174 | 8.078366e-170 |\n",
       "| ENSG00000070985 |  6.610261 | 2.469754 |  625.4816 | 4.803161e-138 | 9.284831e-134 |\n",
       "| ENSG00000147174 |  3.857756 | 3.692567 |  606.1356 | 7.749302e-134 | 1.123494e-129 |\n",
       "| ENSG00000105974 | -2.766143 | 5.721369 |  605.2399 | 1.213603e-133 | 1.407585e-129 |\n",
       "| ENSG00000198883 |  7.718994 | 2.154230 |  589.9396 | 2.582475e-130 | 2.496048e-126 |\n",
       "\n"
      ],
      "text/plain": [
       "                logFC     logCPM   LR        PValue        FDR          \n",
       "ENSG00000130600  5.505566 9.008124 1041.4478 1.758697e-228 1.019903e-223\n",
       "ENSG00000135480  4.606337 5.098251  792.1216 2.786028e-174 8.078366e-170\n",
       "ENSG00000070985  6.610261 2.469754  625.4816 4.803161e-138 9.284831e-134\n",
       "ENSG00000147174  3.857756 3.692567  606.1356 7.749302e-134 1.123494e-129\n",
       "ENSG00000105974 -2.766143 5.721369  605.2399 1.213603e-133 1.407585e-129\n",
       "ENSG00000198883  7.718994 2.154230  589.9396 2.582475e-130 2.496048e-126"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "head(topOnes_pairwise)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "2992"
      ],
      "text/latex": [
       "2992"
      ],
      "text/markdown": [
       "2992"
      ],
      "text/plain": [
       "[1] 2992"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "length(intersect(rownames(topOnes)[1:5000], rownames(topOnes_pairwise)[1:5000]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Deseq2 pairwise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading required package: S4Vectors\n",
      "\n",
      "Loading required package: stats4\n",
      "\n",
      "Loading required package: BiocGenerics\n",
      "\n",
      "Warning message:\n",
      "“package ‘BiocGenerics’ was built under R version 4.0.5”\n",
      "Loading required package: parallel\n",
      "\n",
      "\n",
      "Attaching package: ‘BiocGenerics’\n",
      "\n",
      "\n",
      "The following objects are masked from ‘package:parallel’:\n",
      "\n",
      "    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,\n",
      "    clusterExport, clusterMap, parApply, parCapply, parLapply,\n",
      "    parLapplyLB, parRapply, parSapply, parSapplyLB\n",
      "\n",
      "\n",
      "The following object is masked from ‘package:limma’:\n",
      "\n",
      "    plotMA\n",
      "\n",
      "\n",
      "The following objects are masked from ‘package:stats’:\n",
      "\n",
      "    IQR, mad, sd, var, xtabs\n",
      "\n",
      "\n",
      "The following objects are masked from ‘package:base’:\n",
      "\n",
      "    Filter, Find, Map, Position, Reduce, anyDuplicated, append,\n",
      "    as.data.frame, basename, cbind, colnames, dirname, do.call,\n",
      "    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,\n",
      "    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,\n",
      "    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,\n",
      "    tapply, union, unique, unsplit, which.max, which.min\n",
      "\n",
      "\n",
      "\n",
      "Attaching package: ‘S4Vectors’\n",
      "\n",
      "\n",
      "The following object is masked from ‘package:base’:\n",
      "\n",
      "    expand.grid\n",
      "\n",
      "\n",
      "Loading required package: IRanges\n",
      "\n",
      "Loading required package: GenomicRanges\n",
      "\n",
      "Loading required package: GenomeInfoDb\n",
      "\n",
      "Warning message:\n",
      "“package ‘GenomeInfoDb’ was built under R version 4.0.5”\n",
      "Loading required package: SummarizedExperiment\n",
      "\n",
      "Loading required package: MatrixGenerics\n",
      "\n",
      "Loading required package: matrixStats\n",
      "\n",
      "\n",
      "Attaching package: ‘MatrixGenerics’\n",
      "\n",
      "\n",
      "The following objects are masked from ‘package:matrixStats’:\n",
      "\n",
      "    colAlls, colAnyNAs, colAnys, colAvgsPerRowSet, colCollapse,\n",
      "    colCounts, colCummaxs, colCummins, colCumprods, colCumsums,\n",
      "    colDiffs, colIQRDiffs, colIQRs, colLogSumExps, colMadDiffs,\n",
      "    colMads, colMaxs, colMeans2, colMedians, colMins, colOrderStats,\n",
      "    colProds, colQuantiles, colRanges, colRanks, colSdDiffs, colSds,\n",
      "    colSums2, colTabulates, colVarDiffs, colVars, colWeightedMads,\n",
      "    colWeightedMeans, colWeightedMedians, colWeightedSds,\n",
      "    colWeightedVars, rowAlls, rowAnyNAs, rowAnys, rowAvgsPerColSet,\n",
      "    rowCollapse, rowCounts, rowCummaxs, rowCummins, rowCumprods,\n",
      "    rowCumsums, rowDiffs, rowIQRDiffs, rowIQRs, rowLogSumExps,\n",
      "    rowMadDiffs, rowMads, rowMaxs, rowMeans2, rowMedians, rowMins,\n",
      "    rowOrderStats, rowProds, rowQuantiles, rowRanges, rowRanks,\n",
      "    rowSdDiffs, rowSds, rowSums2, rowTabulates, rowVarDiffs, rowVars,\n",
      "    rowWeightedMads, rowWeightedMeans, rowWeightedMedians,\n",
      "    rowWeightedSds, rowWeightedVars\n",
      "\n",
      "\n",
      "Loading required package: Biobase\n",
      "\n",
      "Welcome to Bioconductor\n",
      "\n",
      "    Vignettes contain introductory material; view with\n",
      "    'browseVignettes()'. To cite Bioconductor, see\n",
      "    'citation(\"Biobase\")', and for packages 'citation(\"pkgname\")'.\n",
      "\n",
      "\n",
      "\n",
      "Attaching package: ‘Biobase’\n",
      "\n",
      "\n",
      "The following object is masked from ‘package:MatrixGenerics’:\n",
      "\n",
      "    rowMedians\n",
      "\n",
      "\n",
      "The following objects are masked from ‘package:matrixStats’:\n",
      "\n",
      "    anyMissing, rowMedians\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "library(DESeq2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "estimating size factors\n",
      "\n",
      "estimating dispersions\n",
      "\n",
      "gene-wise dispersion estimates\n",
      "\n",
      "mean-dispersion relationship\n",
      "\n",
      "final dispersion estimates\n",
      "\n",
      "fitting model and testing\n",
      "\n"
     ]
    }
   ],
   "source": [
    "cc2 <- cc[,1:6]\n",
    "conds <- c(\"cnt\",\"cnt\",\"cnt\",  \"dac\", \"dac\", \"dac\")\n",
    "colData<-data.frame(condition=as.factor(conds))\n",
    "dds <- DESeqDataSetFromMatrix(countData = cc2,colData = colData,design = formula(colData) ) \n",
    "dds <- DESeq(dds)\n",
    "res <- results(dds)\n",
    "o <- order(res[,\"pvalue\"])\n",
    "res <- res[o, ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "log2 fold change (MLE): condition dac vs cnt \n",
       "Wald test p-value: condition dac vs cnt \n",
       "DataFrame with 57992 rows and 6 columns\n",
       "                 baseMean log2FoldChange     lfcSE      stat       pvalue\n",
       "                <numeric>      <numeric> <numeric> <numeric>    <numeric>\n",
       "ENSG00000130600 21561.070        5.50280  0.133035   41.3636  0.00000e+00\n",
       "ENSG00000135480  1420.357        4.60734  0.155206   29.6854 1.18459e-193\n",
       "ENSG00000105974  2226.621       -2.76973  0.102993  -26.8924 2.69261e-159\n",
       "ENSG00000147174   529.979        3.86159  0.159577   24.1989 2.28414e-129\n",
       "ENSG00000086548  2890.536        2.69275  0.115384   23.3373 1.85514e-120\n",
       "...                   ...            ...       ...       ...          ...\n",
       "ENSG00000239415         0             NA        NA        NA           NA\n",
       "ENSG00000223692         0             NA        NA        NA           NA\n",
       "ENSG00000202239         0             NA        NA        NA           NA\n",
       "ENSG00000160307         0             NA        NA        NA           NA\n",
       "ENSG00000210174         0             NA        NA        NA           NA\n",
       "                        padj\n",
       "                   <numeric>\n",
       "ENSG00000130600  0.00000e+00\n",
       "ENSG00000135480 1.56348e-189\n",
       "ENSG00000105974 2.36922e-155\n",
       "ENSG00000147174 1.50736e-125\n",
       "ENSG00000086548 9.79402e-117\n",
       "...                      ...\n",
       "ENSG00000239415           NA\n",
       "ENSG00000223692           NA\n",
       "ENSG00000202239           NA\n",
       "ENSG00000160307           NA\n",
       "ENSG00000210174           NA"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "res"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "DESeq2 and edgeR agree quite a lot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "385"
      ],
      "text/latex": [
       "385"
      ],
      "text/markdown": [
       "385"
      ],
      "text/plain": [
       "[1] 385"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "length(intersect(rownames(res)[1:500], rownames(topOnes_pairwise)[1:500]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading required package: graph\n",
      "\n",
      "Loading required package: RBGL\n",
      "\n",
      "Loading required package: grid\n",
      "\n",
      "Loading required package: lattice\n",
      "\n",
      "Loading required package: RColorBrewer\n",
      "\n",
      "Loading required package: reshape\n",
      "\n",
      "\n",
      "Attaching package: ‘reshape’\n",
      "\n",
      "\n",
      "The following objects are masked from ‘package:S4Vectors’:\n",
      "\n",
      "    expand, rename\n",
      "\n",
      "\n",
      "Loading required package: gtools\n",
      "\n",
      "Loading required package: xtable\n",
      "\n"
     ]
    }
   ],
   "source": [
    "library(Vennerable)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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jbnZ1Ovp/lC+xezubmGF0YbX32NMxpDUh1AaUOwAwhnbFaWfshQ81tv87bAqa+c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JYg/qGwurD1P6PTp3T2pSQNjw8HqAEAzmi0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\nCZR76SULeAAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "i1 <- rownames(res)[1:500]\n",
    "i2 <- rownames(topOnes_pairwise)[1:500]\n",
    "i3 <- rownames(topOnes)[1:500]\n",
    "\n",
    "vennD <- Venn ( list(i1, i2, i3), SetNames = c(\"DESeq2\", \"edgeR_pairwise\",\"edgeR_glm\"))\n",
    "plot(vennD, doWeights = T, type = \"circles\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 12</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>sorted_reads.mfc_cnt_1.bam</th><th scope=col>sorted_reads.mfc_cnt_2.bam</th><th scope=col>sorted_reads.mfc_cnt_3.bam</th><th scope=col>sorted_reads.mfc_dac_1.bam</th><th scope=col>sorted_reads.mfc_dac_2.bam</th><th scope=col>sorted_reads.mfc_dac_3.bam</th><th scope=col>sorted_reads.yb5_cnt_1.bam</th><th scope=col>sorted_reads.yb5_cnt_2.bam</th><th scope=col>sorted_reads.yb5_cnt_3.bam</th><th scope=col>sorted_reads.yb5_dac_1.bam</th><th scope=col>sorted_reads.yb5_dac_2.bam</th><th scope=col>sorted_reads.yb5_dac_3.bam</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>ENSG00000223972</th><td>  11</td><td>  18</td><td>  55</td><td>  46</td><td>  57</td><td>  56</td><td>  59</td><td>  35</td><td>  32</td><td> 278</td><td> 203</td><td> 215</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000227232</th><td>2089</td><td>2441</td><td>7559</td><td>3644</td><td>4172</td><td>4329</td><td>4055</td><td>2568</td><td>2568</td><td>6803</td><td>4957</td><td>5629</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000278267</th><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000243485</th><td>   2</td><td>   3</td><td>   8</td><td>   8</td><td>  11</td><td>  13</td><td>  12</td><td>   7</td><td>   9</td><td>  33</td><td>  26</td><td>  23</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000237613</th><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   1</td><td>   0</td><td>   0</td><td>   2</td><td>   1</td><td>   0</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000268020</th><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   0</td><td>   1</td><td>   0</td><td>   0</td><td>   0</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 12\n",
       "\\begin{tabular}{r|llllllllllll}\n",
       "  & sorted\\_reads.mfc\\_cnt\\_1.bam & sorted\\_reads.mfc\\_cnt\\_2.bam & sorted\\_reads.mfc\\_cnt\\_3.bam & sorted\\_reads.mfc\\_dac\\_1.bam & sorted\\_reads.mfc\\_dac\\_2.bam & sorted\\_reads.mfc\\_dac\\_3.bam & sorted\\_reads.yb5\\_cnt\\_1.bam & sorted\\_reads.yb5\\_cnt\\_2.bam & sorted\\_reads.yb5\\_cnt\\_3.bam & sorted\\_reads.yb5\\_dac\\_1.bam & sorted\\_reads.yb5\\_dac\\_2.bam & sorted\\_reads.yb5\\_dac\\_3.bam\\\\\n",
       "  & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\tENSG00000223972 &   11 &   18 &   55 &   46 &   57 &   56 &   59 &   35 &   32 &  278 &  203 &  215\\\\\n",
       "\tENSG00000227232 & 2089 & 2441 & 7559 & 3644 & 4172 & 4329 & 4055 & 2568 & 2568 & 6803 & 4957 & 5629\\\\\n",
       "\tENSG00000278267 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0\\\\\n",
       "\tENSG00000243485 &    2 &    3 &    8 &    8 &   11 &   13 &   12 &    7 &    9 &   33 &   26 &   23\\\\\n",
       "\tENSG00000237613 &    0 &    0 &    0 &    0 &    0 &    0 &    1 &    0 &    0 &    2 &    1 &    0\\\\\n",
       "\tENSG00000268020 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    0 &    1 &    0 &    0 &    0\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 12\n",
       "\n",
       "| <!--/--> | sorted_reads.mfc_cnt_1.bam &lt;int&gt; | sorted_reads.mfc_cnt_2.bam &lt;int&gt; | sorted_reads.mfc_cnt_3.bam &lt;int&gt; | sorted_reads.mfc_dac_1.bam &lt;int&gt; | sorted_reads.mfc_dac_2.bam &lt;int&gt; | sorted_reads.mfc_dac_3.bam &lt;int&gt; | sorted_reads.yb5_cnt_1.bam &lt;int&gt; | sorted_reads.yb5_cnt_2.bam &lt;int&gt; | sorted_reads.yb5_cnt_3.bam &lt;int&gt; | sorted_reads.yb5_dac_1.bam &lt;int&gt; | sorted_reads.yb5_dac_2.bam &lt;int&gt; | sorted_reads.yb5_dac_3.bam &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| ENSG00000223972 |   11 |   18 |   55 |   46 |   57 |   56 |   59 |   35 |   32 |  278 |  203 |  215 |\n",
       "| ENSG00000227232 | 2089 | 2441 | 7559 | 3644 | 4172 | 4329 | 4055 | 2568 | 2568 | 6803 | 4957 | 5629 |\n",
       "| ENSG00000278267 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |\n",
       "| ENSG00000243485 |    2 |    3 |    8 |    8 |   11 |   13 |   12 |    7 |    9 |   33 |   26 |   23 |\n",
       "| ENSG00000237613 |    0 |    0 |    0 |    0 |    0 |    0 |    1 |    0 |    0 |    2 |    1 |    0 |\n",
       "| ENSG00000268020 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    0 |    1 |    0 |    0 |    0 |\n",
       "\n"
      ],
      "text/plain": [
       "                sorted_reads.mfc_cnt_1.bam sorted_reads.mfc_cnt_2.bam\n",
       "ENSG00000223972   11                         18                      \n",
       "ENSG00000227232 2089                       2441                      \n",
       "ENSG00000278267    0                          0                      \n",
       "ENSG00000243485    2                          3                      \n",
       "ENSG00000237613    0                          0                      \n",
       "ENSG00000268020    0                          0                      \n",
       "                sorted_reads.mfc_cnt_3.bam sorted_reads.mfc_dac_1.bam\n",
       "ENSG00000223972   55                         46                      \n",
       "ENSG00000227232 7559                       3644                      \n",
       "ENSG00000278267    0                          0                      \n",
       "ENSG00000243485    8                          8                      \n",
       "ENSG00000237613    0                          0                      \n",
       "ENSG00000268020    0                          0                      \n",
       "                sorted_reads.mfc_dac_2.bam sorted_reads.mfc_dac_3.bam\n",
       "ENSG00000223972   57                         56                      \n",
       "ENSG00000227232 4172                       4329                      \n",
       "ENSG00000278267    0                          0                      \n",
       "ENSG00000243485   11                         13                      \n",
       "ENSG00000237613    0                          0                      \n",
       "ENSG00000268020    0                          0                      \n",
       "                sorted_reads.yb5_cnt_1.bam sorted_reads.yb5_cnt_2.bam\n",
       "ENSG00000223972   59                         35                      \n",
       "ENSG00000227232 4055                       2568                      \n",
       "ENSG00000278267    0                          0                      \n",
       "ENSG00000243485   12                          7                      \n",
       "ENSG00000237613    1                          0                      \n",
       "ENSG00000268020    0                          0                      \n",
       "                sorted_reads.yb5_cnt_3.bam sorted_reads.yb5_dac_1.bam\n",
       "ENSG00000223972   32                        278                      \n",
       "ENSG00000227232 2568                       6803                      \n",
       "ENSG00000278267    0                          0                      \n",
       "ENSG00000243485    9                         33                      \n",
       "ENSG00000237613    0                          2                      \n",
       "ENSG00000268020    1                          0                      \n",
       "                sorted_reads.yb5_dac_2.bam sorted_reads.yb5_dac_3.bam\n",
       "ENSG00000223972  203                        215                      \n",
       "ENSG00000227232 4957                       5629                      \n",
       "ENSG00000278267    0                          0                      \n",
       "ENSG00000243485   26                         23                      \n",
       "ENSG00000237613    1                          0                      \n",
       "ENSG00000268020    0                          0                      "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "head(cc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "ccl <- apply(cc, c(1,2), function(x) log2(x+1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "e_mfc <- apply(ccl[,1:3], 1, mean)\n",
    "e_mfcD <- apply(ccl[,4:6], 1, mean)\n",
    "e_yb5 <- apply(ccl[,7:9], 1, mean)\n",
    "e_yb5D <- apply(ccl[,10:12], 1, mean)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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QkagMIOAIBqcpd0W3amt+yk5kOtUNgB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\nAACKINgBAAAo4v9ITE5qV3fLiQAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "smoothScatter(e_mfc, e_mfcD, cex=0.3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "\"trad.scatter.plot\" <-\n",
    "function(x,y,add=FALSE,fc.lines=log2(c(2,4,6,8)),draw.fc.lines=TRUE,draw.fc.line.labels=TRUE,fc.line.col=\"lightgrey\",pch=20,xlim=NULL,ylim=NULL,...) {\n",
    "   if(!add) {\n",
    "     mx <- max(x,y);     \n",
    "     mn <- min(x,y);\n",
    "     if(is.null(xlim)) { xlim=range(mn,mx) }\n",
    "     if(is.null(ylim)) { ylim=range(mn,mx) }\n",
    "     plot(x,y,xlim=xlim,ylim=ylim,pch=pch,...);\n",
    "     if(draw.fc.lines) {\n",
    "       for( lne in fc.lines) {\n",
    "         xc <- xlim \n",
    "         yc <- c(ylim[1]+lne,ylim[2]+lne);\n",
    "         lines(xc,yc,col=fc.line.col); \n",
    "         if(draw.fc.line.labels) {text(mn+0.25,lne+mn,2^lne,col=fc.line.col); }\n",
    "         xc <- xlim\n",
    "         yc <- c(ylim[1]-lne,ylim[2]-lne);\n",
    "         lines(xc,yc,col=fc.line.col); \n",
    "          if(draw.fc.line.labels) {text(lne+mn,mn+0.25,2^lne,col=fc.line.col); }\n",
    "       }\n",
    "     }\n",
    "   }\n",
    "   else {\n",
    "     points(x,y,pch=pch,...); \n",
    "   }\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "823"
      ],
      "text/latex": [
       "823"
      ],
      "text/markdown": [
       "823"
      ],
      "text/plain": [
       "[1] 823"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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OlSjpS9+bcJy/eWNAp3PvN3b0ya+lox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AAgEKAYrBz8WJcPUA0o97zSSyptFz1BT4AB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\nUESK7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Io13qXdgNZaSy15+9MtWZWeFZ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\nAGyau1gdCEGuoGarmkHAYN3g7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aNX9G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\nRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "trad.scatter.plot(e_mfc, e_mfcD, cex=0.3)\n",
    "idx <- which(abs(e_mfc- e_mfcD)>2)\n",
    "points(e_mfc[idx], e_mfcD[idx], cex=0.3, col=\"green\")\n",
    "length(idx)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "library(genefilter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "tt.raw <- rowttests(as.matrix(cc[,1:6]), factor(c(1,1,1,2,2,2)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 3</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>statistic</th><th scope=col>dm</th><th scope=col>p.value</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>ENSG00000223972</th><td>-1.77368914</td><td>-25.000000</td><td>0.15078949</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000227232</th><td>-0.01048871</td><td>-18.666667</td><td>0.99213365</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000278267</th><td>        NaN</td><td>  0.000000</td><td>       NaN</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000243485</th><td>-2.68700577</td><td> -6.333333</td><td>0.05482817</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000237613</th><td>        NaN</td><td>  0.000000</td><td>       NaN</td></tr>\n",
       "\t<tr><th scope=row>ENSG00000268020</th><td>        NaN</td><td>  0.000000</td><td>       NaN</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 3\n",
       "\\begin{tabular}{r|lll}\n",
       "  & statistic & dm & p.value\\\\\n",
       "  & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\tENSG00000223972 & -1.77368914 & -25.000000 & 0.15078949\\\\\n",
       "\tENSG00000227232 & -0.01048871 & -18.666667 & 0.99213365\\\\\n",
       "\tENSG00000278267 &         NaN &   0.000000 &        NaN\\\\\n",
       "\tENSG00000243485 & -2.68700577 &  -6.333333 & 0.05482817\\\\\n",
       "\tENSG00000237613 &         NaN &   0.000000 &        NaN\\\\\n",
       "\tENSG00000268020 &         NaN &   0.000000 &        NaN\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 3\n",
       "\n",
       "| <!--/--> | statistic &lt;dbl&gt; | dm &lt;dbl&gt; | p.value &lt;dbl&gt; |\n",
       "|---|---|---|---|\n",
       "| ENSG00000223972 | -1.77368914 | -25.000000 | 0.15078949 |\n",
       "| ENSG00000227232 | -0.01048871 | -18.666667 | 0.99213365 |\n",
       "| ENSG00000278267 |         NaN |   0.000000 |        NaN |\n",
       "| ENSG00000243485 | -2.68700577 |  -6.333333 | 0.05482817 |\n",
       "| ENSG00000237613 |         NaN |   0.000000 |        NaN |\n",
       "| ENSG00000268020 |         NaN |   0.000000 |        NaN |\n",
       "\n"
      ],
      "text/plain": [
       "                statistic   dm         p.value   \n",
       "ENSG00000223972 -1.77368914 -25.000000 0.15078949\n",
       "ENSG00000227232 -0.01048871 -18.666667 0.99213365\n",
       "ENSG00000278267         NaN   0.000000        NaN\n",
       "ENSG00000243485 -2.68700577  -6.333333 0.05482817\n",
       "ENSG00000237613         NaN   0.000000        NaN\n",
       "ENSG00000268020         NaN   0.000000        NaN"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "head(tt.raw)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "idx.raw <- which(tt.raw$p.value <0.01)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "844"
      ],
      "text/latex": [
       "844"
      ],
      "text/markdown": [
       "844"
      ],
      "text/plain": [
       "[1] 844"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "length(idx.raw)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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PWcMPFKjpS+9bfxS/cWNwh3PvN3/5o4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byTC4fH73mjy0eBuDc674+jspTO49ZFKbIc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m7caDL1+OSTbgUF2piYNKVyTFhY9ZtvvnnDDTfI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\ngg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "trad.scatter.plot(e_mfc, e_mfcD, cex=0.3)\n",
    "idx <- which(abs(e_mfc- e_mfcD)>2)\n",
    "points(e_mfc[idx], e_mfcD[idx], cex=0.3, col=\"green\")\n",
    "points(e_mfc[idx.raw], e_mfcD[idx.raw], cex=0.3, col=\"blue\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "estimating size factors\n",
      "\n",
      "estimating dispersions\n",
      "\n",
      "gene-wise dispersion estimates\n",
      "\n",
      "mean-dispersion relationship\n",
      "\n",
      "final dispersion estimates\n",
      "\n",
      "fitting model and testing\n",
      "\n"
     ]
    }
   ],
   "source": [
    "library(DESeq2)\n",
    "cc2 <- cc[,1:6]\n",
    "conds <- c(\"cnt\",\"cnt\",\"cnt\",  \"dac\", \"dac\", \"dac\")\n",
    "colData<-data.frame(condition=as.factor(conds))\n",
    "dds <- DESeqDataSetFromMatrix(countData = cc2,colData = colData,design = formula(colData) ) \n",
    "dds <- DESeq(dds)\n",
    "res <- results(dds)\n",
    "o <- order(res[,\"pvalue\"])\n",
    "res <- res[o, ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "log2 fold change (MLE): condition dac vs cnt \n",
       "Wald test p-value: condition dac vs cnt \n",
       "DataFrame with 6 rows and 6 columns\n",
       "                 baseMean log2FoldChange     lfcSE      stat       pvalue\n",
       "                <numeric>      <numeric> <numeric> <numeric>    <numeric>\n",
       "ENSG00000130600 21561.070        5.50280  0.133035   41.3636  0.00000e+00\n",
       "ENSG00000135480  1420.357        4.60734  0.155206   29.6854 1.18459e-193\n",
       "ENSG00000105974  2226.621       -2.76973  0.102993  -26.8924 2.69261e-159\n",
       "ENSG00000147174   529.979        3.86159  0.159577   24.1989 2.28414e-129\n",
       "ENSG00000086548  2890.536        2.69275  0.115384   23.3373 1.85514e-120\n",
       "ENSG00000205426  4370.603        2.70784  0.120985   22.3816 5.94095e-111\n",
       "                        padj\n",
       "                   <numeric>\n",
       "ENSG00000130600  0.00000e+00\n",
       "ENSG00000135480 1.56348e-189\n",
       "ENSG00000105974 2.36922e-155\n",
       "ENSG00000147174 1.50736e-125\n",
       "ENSG00000086548 9.79402e-117\n",
       "ENSG00000205426 2.61372e-107"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "head(res)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "log2 fold change (MLE): condition dac vs cnt \n",
       "Wald test p-value: condition dac vs cnt \n",
       "DataFrame with 11 rows and 6 columns\n",
       "                 baseMean log2FoldChange     lfcSE      stat     pvalue\n",
       "                <numeric>      <numeric> <numeric> <numeric>  <numeric>\n",
       "ENSG00000126767  922.5980      -0.355865 0.1157980  -3.07315 0.00211812\n",
       "ENSG00000198840 1187.8887       0.443680 0.1444086   3.07239 0.00212352\n",
       "ENSG00000170365  349.3606       0.429759 0.1398778   3.07239 0.00212354\n",
       "ENSG00000172273  587.4725      -0.374144 0.1217780  -3.07234 0.00212385\n",
       "ENSG00000138018 3939.3387      -0.296090 0.0963981  -3.07153 0.00212964\n",
       "ENSG00000250945   15.8666       1.611049 0.5246056   3.07097 0.00213363\n",
       "ENSG00000106462 2515.6612       0.321988 0.1048637   3.07054 0.00213675\n",
       "ENSG00000134825 1482.7068      -0.353204 0.1150429  -3.07020 0.00213918\n",
       "ENSG00000259755   13.2072       1.914466 0.6237050   3.06951 0.00214414\n",
       "ENSG00000187730   37.4345      -1.014170 0.3304244  -3.06929 0.00214565\n",
       "ENSG00000249456  218.8056       0.638445 0.2081085   3.06785 0.00215608\n",
       "                     padj\n",
       "                <numeric>\n",
       "ENSG00000126767 0.0186373\n",
       "ENSG00000198840 0.0186690\n",
       "ENSG00000170365 0.0186690\n",
       "ENSG00000172273 0.0186690\n",
       "ENSG00000138018 0.0187137\n",
       "ENSG00000250945 0.0187426\n",
       "ENSG00000106462 0.0187637\n",
       "ENSG00000134825 0.0187788\n",
       "ENSG00000259755 0.0188161\n",
       "ENSG00000187730 0.0188231\n",
       "ENSG00000249456 0.0189074"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "res[3000:3010,]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "idx.ds <- rownames(res)[which(res$padj <0.0001)]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "1223"
      ],
      "text/latex": [
       "1223"
      ],
      "text/markdown": [
       "1223"
      ],
      "text/plain": [
       "[1] 1223"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "length(idx.ds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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gOC4QdTukLTBmNYl1YvG9MQ7AAAICaxrK6VtjvX4/FYLJZAIKDEFg/lhl7HJzXV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\n0CHh47Vr11522WXBYDApKWnz5s1nnHHGsa/v16/f2WefvXXrViI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pNBqv338W0bVE8/r2zaqrS8jO5i68MOWNN+7huB95fm0gYHvggazP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jXMnJwDgYDpvUR1UZujfUopcqc3u26NWm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\n7MrATz7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UbAPBjeE1YmbUiEk+ECYM89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EE4ndbmTVhdlettU2e1Vpa3lspa8/kIzMFk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\nBwAQxF/a8FjQpPn9SwAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "trad.scatter.plot(e_mfc, e_mfcD, cex=0.3)\n",
    "idx <- which(abs(e_mfc- e_mfcD)>2)\n",
    "points(e_mfc[idx], e_mfcD[idx], cex=0.3, col=\"green\")\n",
    "#points(e_mfc[idx.raw], e_mfcD[idx.raw], cex=0.3, col=\"blue\")\n",
    "points(e_mfc[idx.ds], e_mfcD[idx.ds], cex=0.3, col=\"red\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "R",
   "language": "R",
   "name": "ir"
  },
  "language_info": {
   "codemirror_mode": "r",
   "file_extension": ".r",
   "mimetype": "text/x-r-source",
   "name": "R",
   "pygments_lexer": "r",
   "version": "4.0.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}