analyses/il2-titration/IL2 titration results from multiple assays.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "library('readr')\n",
    "library('magrittr')\n",
    "library('dplyr')\n",
    "library('tidyr')\n",
    "library('ggplot2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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hgx9C+zr1u3rqmDbN3zkVITCHbcXdov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\nAQQQQAABBBBAIH0CFdM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e53tmTJErv55putcuVQs85yHlYPAQQQQAABBBBAAAEE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\nXDFGkqtCWU0DS2y+vvfeex3vYL7mmPKJYUlBw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79dVXk7/9l8MOOyzZdlT/D3Scr1y50g466CDr0aOHz8YnAkURUPu4v/zl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\nzQjeys0AAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "read_tsv(\n",
    "    'il2-resazurin.tsv',\n",
    "    col_types=cols(\n",
    "        `Row`=col_factor(levels=LETTERS[1:8]),\n",
    "        `Replicate`=col_factor(paste(\"R\", 1:4, sep=\"\")),\n",
    "        .default=col_double()\n",
    "    )\n",
    ") %>%\n",
    "filter(`Replicate` != \"R3\") %>%\n",
    "mutate(`Replicate` = factor(`Replicate`, labels=c(\"Replicate 1\", \"Replicate 2\", \"Replicate 3\"))) %>%\n",
    "gather(\n",
    "    key=\"Column\",\n",
    "    value=\"A570-A595\",\n",
    "    `C1`:`C12`,\n",
    "    factor_key=TRUE\n",
    ") %>%\n",
    "group_by(`Column`, `Replicate`) %>%\n",
    "summarize(\n",
    "    `Abs_mean`=mean(`A570-A595`),\n",
    "    `Abs_sd`=sd(`A570-A595`)\n",
    ") %>%\n",
    "mutate(\n",
    "    `IL2_conc`=3200 / (2 ^ (as.integer(`Column`) - 1))\n",
    ") %>%\n",
    "ggplot(aes(x=`IL2_conc`, y=`Abs_mean`, group=`Replicate`)) +\n",
    "    geom_point() +\n",
    "    geom_line() +\n",
    "    geom_errorbar(\n",
    "        aes(ymin=`Abs_mean`-`Abs_sd`, ymax=`Abs_mean`+`Abs_sd`),\n",
    "        width=.2\n",
    "    ) +\n",
    "    facet_wrap(~`Replicate`, ncol=1) +\n",
    "    ylab('A570-A595') +\n",
    "    ylim(0.1, .55) +\n",
    "    scale_x_continuous(trans='log2') +\n",
    "    xlab('IL2 concentration (IU/mL)') +\n",
    "    ylab('Normalized absorbance (A570nm-A595nm)\\n(n=8)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>IL2</th><th scope=col>Freq_mean</th><th scope=col>Freq_sd</th><th scope=col>CD96_mean</th><th scope=col>CD96_sd</th><th scope=col>Population</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>  0      </td><td>49.350   </td><td>0.6757712</td><td>1026.50  </td><td>45.712872</td><td>CD4+ CD8-</td></tr>\n",
       "\t<tr><td> 32      </td><td>49.025   </td><td>0.4573474</td><td>1043.25  </td><td>15.478480</td><td>CD4+ CD8-</td></tr>\n",
       "\t<tr><td> 64      </td><td>49.175   </td><td>0.4500000</td><td>1023.75  </td><td>29.881711</td><td>CD4+ CD8-</td></tr>\n",
       "\t<tr><td>128      </td><td>49.475   </td><td>0.6238322</td><td>1067.00  </td><td> 7.348469</td><td>CD4+ CD8-</td></tr>\n",
       "\t<tr><td>256      </td><td>49.550   </td><td>0.5686241</td><td>1055.00  </td><td>14.583095</td><td>CD4+ CD8-</td></tr>\n",
       "\t<tr><td>512      </td><td>51.000   </td><td>6.4658075</td><td>1042.25  </td><td>50.658168</td><td>CD4+ CD8-</td></tr>\n",
       "\t<tr><td>  0      </td><td>39.175   </td><td>0.6448514</td><td> 791.75  </td><td>37.294995</td><td>CD4- CD8+</td></tr>\n",
       "\t<tr><td> 32      </td><td>39.350   </td><td>0.5916080</td><td> 806.50  </td><td>21.794495</td><td>CD4- CD8+</td></tr>\n",
       "\t<tr><td> 64      </td><td>39.100   </td><td>0.6377042</td><td> 784.50  </td><td>29.240383</td><td>CD4- CD8+</td></tr>\n",
       "\t<tr><td>128      </td><td>39.075   </td><td>0.8261356</td><td> 829.75  </td><td>19.276497</td><td>CD4- CD8+</td></tr>\n",
       "\t<tr><td>256      </td><td>39.025   </td><td>0.5909033</td><td> 806.50  </td><td>21.377558</td><td>CD4- CD8+</td></tr>\n",
       "\t<tr><td>512      </td><td>42.350   </td><td>5.5042408</td><td> 799.50  </td><td>35.369478</td><td>CD4- CD8+</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|llllll}\n",
       " IL2 & Freq\\_mean & Freq\\_sd & CD96\\_mean & CD96\\_sd & Population\\\\\n",
       "\\hline\n",
       "\t   0       & 49.350    & 0.6757712 & 1026.50   & 45.712872 & CD4+ CD8-\\\\\n",
       "\t  32       & 49.025    & 0.4573474 & 1043.25   & 15.478480 & CD4+ CD8-\\\\\n",
       "\t  64       & 49.175    & 0.4500000 & 1023.75   & 29.881711 & CD4+ CD8-\\\\\n",
       "\t 128       & 49.475    & 0.6238322 & 1067.00   &  7.348469 & CD4+ CD8-\\\\\n",
       "\t 256       & 49.550    & 0.5686241 & 1055.00   & 14.583095 & CD4+ CD8-\\\\\n",
       "\t 512       & 51.000    & 6.4658075 & 1042.25   & 50.658168 & CD4+ CD8-\\\\\n",
       "\t   0       & 39.175    & 0.6448514 &  791.75   & 37.294995 & CD4- CD8+\\\\\n",
       "\t  32       & 39.350    & 0.5916080 &  806.50   & 21.794495 & CD4- CD8+\\\\\n",
       "\t  64       & 39.100    & 0.6377042 &  784.50   & 29.240383 & CD4- CD8+\\\\\n",
       "\t 128       & 39.075    & 0.8261356 &  829.75   & 19.276497 & CD4- CD8+\\\\\n",
       "\t 256       & 39.025    & 0.5909033 &  806.50   & 21.377558 & CD4- CD8+\\\\\n",
       "\t 512       & 42.350    & 5.5042408 &  799.50   & 35.369478 & CD4- CD8+\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "IL2 | Freq_mean | Freq_sd | CD96_mean | CD96_sd | Population | \n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "|   0       | 49.350    | 0.6757712 | 1026.50   | 45.712872 | CD4+ CD8- | \n",
       "|  32       | 49.025    | 0.4573474 | 1043.25   | 15.478480 | CD4+ CD8- | \n",
       "|  64       | 49.175    | 0.4500000 | 1023.75   | 29.881711 | CD4+ CD8- | \n",
       "| 128       | 49.475    | 0.6238322 | 1067.00   |  7.348469 | CD4+ CD8- | \n",
       "| 256       | 49.550    | 0.5686241 | 1055.00   | 14.583095 | CD4+ CD8- | \n",
       "| 512       | 51.000    | 6.4658075 | 1042.25   | 50.658168 | CD4+ CD8- | \n",
       "|   0       | 39.175    | 0.6448514 |  791.75   | 37.294995 | CD4- CD8+ | \n",
       "|  32       | 39.350    | 0.5916080 |  806.50   | 21.794495 | CD4- CD8+ | \n",
       "|  64       | 39.100    | 0.6377042 |  784.50   | 29.240383 | CD4- CD8+ | \n",
       "| 128       | 39.075    | 0.8261356 |  829.75   | 19.276497 | CD4- CD8+ | \n",
       "| 256       | 39.025    | 0.5909033 |  806.50   | 21.377558 | CD4- CD8+ | \n",
       "| 512       | 42.350    | 5.5042408 |  799.50   | 35.369478 | CD4- CD8+ | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "   IL2 Freq_mean Freq_sd   CD96_mean CD96_sd   Population\n",
       "1    0 49.350    0.6757712 1026.50   45.712872 CD4+ CD8- \n",
       "2   32 49.025    0.4573474 1043.25   15.478480 CD4+ CD8- \n",
       "3   64 49.175    0.4500000 1023.75   29.881711 CD4+ CD8- \n",
       "4  128 49.475    0.6238322 1067.00    7.348469 CD4+ CD8- \n",
       "5  256 49.550    0.5686241 1055.00   14.583095 CD4+ CD8- \n",
       "6  512 51.000    6.4658075 1042.25   50.658168 CD4+ CD8- \n",
       "7    0 39.175    0.6448514  791.75   37.294995 CD4- CD8+ \n",
       "8   32 39.350    0.5916080  806.50   21.794495 CD4- CD8+ \n",
       "9   64 39.100    0.6377042  784.50   29.240383 CD4- CD8+ \n",
       "10 128 39.075    0.8261356  829.75   19.276497 CD4- CD8+ \n",
       "11 256 39.025    0.5909033  806.50   21.377558 CD4- CD8+ \n",
       "12 512 42.350    5.5042408  799.50   35.369478 CD4- CD8+ "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "il2_grp <- \n",
    "    read_csv(\n",
    "        'il2-flow.csv',\n",
    "        col_types=cols(\n",
    "            `Sample`=col_character(),\n",
    "            `Replicate`=col_factor(levels=paste(\"R\", 1:4, sep=\"\")),\n",
    "            `IL2`=col_integer(),\n",
    "            .default=col_double()\n",
    "        )\n",
    "    ) %>%\n",
    "    group_by(`IL2`)\n",
    "\n",
    "il2_flow <- \n",
    "    rbind(\n",
    "        il2_grp %>%\n",
    "            summarize(\n",
    "                `Freq_mean`=mean(`Live cells/CD4+ CD8- | Freq. of Parent (%)`),\n",
    "                `Freq_sd`=sd(`Live cells/CD4+ CD8- | Freq. of Parent (%)`),\n",
    "                `CD96_mean`=mean(`Live cells/CD4+ CD8- | Mean (Comp-PE-A)`),\n",
    "                `CD96_sd`=sd(`Live cells/CD4+ CD8- | Mean (Comp-PE-A)`),\n",
    "            ) %>%\n",
    "            mutate(`Population`=\"CD4+ CD8-\"),\n",
    "        il2_grp %>%\n",
    "            summarize(\n",
    "                `Freq_mean`=mean(`Live cells/CD4- CD8+ | Freq. of Parent (%)`),\n",
    "                `Freq_sd`=sd(`Live cells/CD4- CD8+ | Freq. of Parent (%)`),\n",
    "                `CD96_mean`=mean(`Live cells/CD4- CD8+ | Mean (Comp-PE-A)`),\n",
    "                `CD96_sd`=sd(`Live cells/CD4- CD8+ | Mean (Comp-PE-A)`),\n",
    "            ) %>%\n",
    "            mutate(`Population`=\"CD4- CD8+\")\n",
    "    )\n",
    "\n",
    "il2_flow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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oCgIESE2hlikjAggggAAC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\nkBcEEEAAAQQQQAABBBB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KAxS5qEIT7pPkQXXnihm/FNU3AffvjhrvXo3HPPdZsp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\nQDACXSorbbuu6Ueka24hd9ttN9ODYTVMt7rSaZh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J7BesjejzggUL8rI9Ms0scO655/r7itw3n/UWVn2l3iOm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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "il2_flow %>%\n",
    "    ggplot(aes(x=`IL2`, y=`Freq_mean`, color=`Population`)) +\n",
    "    geom_point() +\n",
    "    geom_line() +\n",
    "    geom_errorbar(\n",
    "        aes(ymax=`Freq_mean`+`Freq_sd`, ymin=`Freq_mean`-`Freq_sd`),\n",
    "        width=.2\n",
    "    ) +\n",
    "    facet_wrap(~`Population`, ncol=1) +\n",
    "    xlab('IL2 Concentration (U/mL)') +\n",
    "    ylab('Percent population (%)') +\n",
    "    ylim(0, 100)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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98td+ihh6YFSLqOXuvrt2hzAdIrr7xiJ5xwgvs9ovX1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ZdN1VoW6AGHwYwtdXJQtSwk9krIO2UIFm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\n7NDbFPDkKvV2AUuPdl1sXzcFdjhpeNxHrodJQ+Q0bO8D19P0Z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r1auXDR8+3Lp06VJO1aeuCCCAAAIIIIAAAgggkEGgbHqQ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\nAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "il2_flow %>%\n",
    "    ggplot(aes(x=`IL2`, y=`CD96_mean`, color=`Population`)) +\n",
    "    geom_point() +\n",
    "    geom_line() +\n",
    "    geom_errorbar(\n",
    "        aes(ymax=`CD96_mean`+`CD96_sd`, ymin=`CD96_mean`-`CD96_sd`),\n",
    "        width=.2\n",
    "    ) +\n",
    "    facet_wrap(~`Population`, ncol=1) +\n",
    "    xlab('IL2 Concentration (U/mL)') +\n",
    "    ylab('CD96 MFI') +\n",
    "    ylim(0, 1200)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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5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\nbwQQQAA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na9assfz8fFePvXv3uve7d+8us14bNmywdevWlVmGTAQQ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\n/x+dKuYKECtCrQAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "read_tsv(\n",
    "    'il2-count-long.tsv',\n",
    "    col_types=cols(\n",
    "        `Donor`=col_factor(levels=c(\"D14\", \"D15\")),\n",
    "        `Day`=col_factor(levels=c(\"5\", \"8\")),\n",
    "        `Condition`=col_factor(levels=c(\"-IL2\", \"+IL2\")),\n",
    "        `Replicate`=col_factor(levels=paste(\"r\", 1:3, sep=\"\")),\n",
    "        `Count No`=col_factor(levels=c(\"1\", \"2\")),\n",
    "        `Live count`=col_double(),\n",
    "        `Live Fraction`=col_double(),\n",
    "        `Dilution`=col_integer()\n",
    "    )\n",
    ") %>%\n",
    "mutate(\n",
    "    `Day`=factor(`Day`, labels=c(\"Day 5\", \"Day 8\")),\n",
    "    `Donor`=factor(`Donor`, labels=c(\"Donor 14\", \"Donor 15\"))\n",
    ") %>%\n",
    "group_by(`Donor`, `Day`, `Condition`, `Replicate`) %>%\n",
    "summarize(\n",
    "    `Live_count_avg2`=mean(`Live count` * `Dilution`) ,\n",
    "    `Fraction_avg2`=mean(`Live Fraction`)\n",
    ") %>%\n",
    "group_by(`Donor`, `Day`, `Condition`) %>%\n",
    "summarize(\n",
    "    `Live_count_avg`=mean(`Live_count_avg2`),\n",
    "    `Live_count_sd`=sd(`Live_count_avg2`),\n",
    "    `Live_percent_avg`=mean(`Fraction_avg2`) * 100,\n",
    "    `Live_percent_sd`=sd(`Fraction_avg2`) * 100\n",
    ") %>%\n",
    "ggplot(aes(x=`Condition`, y=`Live_count_avg`, group=`Donor`, fill=`Condition`)) +\n",
    "    geom_col() +\n",
    "    geom_errorbar(\n",
    "        aes(ymin=`Live_count_avg`-`Live_count_sd`, ymax=`Live_count_avg`+`Live_count_sd`),\n",
    "        width=0.2\n",
    "    ) +\n",
    "    facet_wrap(~Donor + Day) +\n",
    "    ylab('Live cell count per mL')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>Donor</th><th scope=col>Day</th><th scope=col>Condition</th><th scope=col>Freq_mean</th><th scope=col>Freq_sd</th><th scope=col>CD25_mean</th><th scope=col>CD25_sd</th><th scope=col>Population</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>Donor 14  </td><td>Day 5     </td><td>no IL2    </td><td>77.466667 </td><td>0.58594653</td><td>87.00000  </td><td>0.1732051 </td><td>CD4+ CD8- </td></tr>\n",
       "\t<tr><td>Donor 14  </td><td>Day 5     </td><td>200 IU/mL </td><td>78.633333 </td><td>1.33166562</td><td>86.70000  </td><td>0.4582576 </td><td>CD4+ CD8- </td></tr>\n",
       "\t<tr><td>Donor 14  </td><td>Day 8     </td><td>no IL2    </td><td>79.666667 </td><td>0.90737717</td><td>52.90000  </td><td>0.5000000 </td><td>CD4+ CD8- </td></tr>\n",
       "\t<tr><td>Donor 14  </td><td>Day 8     </td><td>200 IU/mL </td><td>80.633333 </td><td>0.51316014</td><td>52.43333  </td><td>0.8621678 </td><td>CD4+ CD8- </td></tr>\n",
       "\t<tr><td>Donor 15  </td><td>Day 5     </td><td>no IL2    </td><td>72.966667 </td><td>0.45092498</td><td>86.36667  </td><td>0.4041452 </td><td>CD4+ CD8- </td></tr>\n",
       "\t<tr><td>Donor 15  </td><td>Day 5     </td><td>200 IU/mL </td><td>73.300000 </td><td>1.05356538</td><td>85.83333  </td><td>0.1527525 </td><td>CD4+ CD8- </td></tr>\n",
       "\t<tr><td>Donor 15  </td><td>Day 8     </td><td>no IL2    </td><td>84.600000 </td><td>0.20000000</td><td>44.03333  </td><td>1.0066446 </td><td>CD4+ CD8- </td></tr>\n",
       "\t<tr><td>Donor 15  </td><td>Day 8     </td><td>200 IU/mL </td><td>85.100000 </td><td>0.70000000</td><td>43.13333  </td><td>1.4571662 </td><td>CD4+ CD8- </td></tr>\n",
       "\t<tr><td>Donor 14  </td><td>Day 5     </td><td>no IL2    </td><td>11.466667 </td><td>0.11547005</td><td>85.80000  </td><td>0.3605551 </td><td>CD4- CD8+ </td></tr>\n",
       "\t<tr><td>Donor 14  </td><td>Day 5     </td><td>200 IU/mL </td><td>11.366667 </td><td>0.11547005</td><td>86.43333  </td><td>0.3055050 </td><td>CD4- CD8+ </td></tr>\n",
       "\t<tr><td>Donor 14  </td><td>Day 8     </td><td>no IL2    </td><td> 6.116667 </td><td>0.32715949</td><td>57.70000  </td><td>1.7349352 </td><td>CD4- CD8+ </td></tr>\n",
       "\t<tr><td>Donor 14  </td><td>Day 8     </td><td>200 IU/mL </td><td> 5.490000 </td><td>0.09539392</td><td>56.36667  </td><td>1.2662280 </td><td>CD4- CD8+ </td></tr>\n",
       "\t<tr><td>Donor 15  </td><td>Day 5     </td><td>no IL2    </td><td>16.466667 </td><td>0.15275252</td><td>83.76667  </td><td>0.9814955 </td><td>CD4- CD8+ </td></tr>\n",
       "\t<tr><td>Donor 15  </td><td>Day 5     </td><td>200 IU/mL </td><td>16.333333 </td><td>0.45092498</td><td>83.80000  </td><td>1.0440307 </td><td>CD4- CD8+ </td></tr>\n",
       "\t<tr><td>Donor 15  </td><td>Day 8     </td><td>no IL2    </td><td> 4.646667 </td><td>0.32316147</td><td>30.73333  </td><td>2.3094011 </td><td>CD4- CD8+ </td></tr>\n",
       "\t<tr><td>Donor 15  </td><td>Day 8     </td><td>200 IU/mL </td><td> 4.506667 </td><td>0.06506407</td><td>28.80000  </td><td>2.2338308 </td><td>CD4- CD8+ </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|llllllll}\n",
       " Donor & Day & Condition & Freq\\_mean & Freq\\_sd & CD25\\_mean & CD25\\_sd & Population\\\\\n",
       "\\hline\n",
       "\t Donor 14   & Day 5      & no IL2     & 77.466667  & 0.58594653 & 87.00000   & 0.1732051  & CD4+ CD8- \\\\\n",
       "\t Donor 14   & Day 5      & 200 IU/mL  & 78.633333  & 1.33166562 & 86.70000   & 0.4582576  & CD4+ CD8- \\\\\n",
       "\t Donor 14   & Day 8      & no IL2     & 79.666667  & 0.90737717 & 52.90000   & 0.5000000  & CD4+ CD8- \\\\\n",
       "\t Donor 14   & Day 8      & 200 IU/mL  & 80.633333  & 0.51316014 & 52.43333   & 0.8621678  & CD4+ CD8- \\\\\n",
       "\t Donor 15   & Day 5      & no IL2     & 72.966667  & 0.45092498 & 86.36667   & 0.4041452  & CD4+ CD8- \\\\\n",
       "\t Donor 15   & Day 5      & 200 IU/mL  & 73.300000  & 1.05356538 & 85.83333   & 0.1527525  & CD4+ CD8- \\\\\n",
       "\t Donor 15   & Day 8      & no IL2     & 84.600000  & 0.20000000 & 44.03333   & 1.0066446  & CD4+ CD8- \\\\\n",
       "\t Donor 15   & Day 8      & 200 IU/mL  & 85.100000  & 0.70000000 & 43.13333   & 1.4571662  & CD4+ CD8- \\\\\n",
       "\t Donor 14   & Day 5      & no IL2     & 11.466667  & 0.11547005 & 85.80000   & 0.3605551  & CD4- CD8+ \\\\\n",
       "\t Donor 14   & Day 5      & 200 IU/mL  & 11.366667  & 0.11547005 & 86.43333   & 0.3055050  & CD4- CD8+ \\\\\n",
       "\t Donor 14   & Day 8      & no IL2     &  6.116667  & 0.32715949 & 57.70000   & 1.7349352  & CD4- CD8+ \\\\\n",
       "\t Donor 14   & Day 8      & 200 IU/mL  &  5.490000  & 0.09539392 & 56.36667   & 1.2662280  & CD4- CD8+ \\\\\n",
       "\t Donor 15   & Day 5      & no IL2     & 16.466667  & 0.15275252 & 83.76667   & 0.9814955  & CD4- CD8+ \\\\\n",
       "\t Donor 15   & Day 5      & 200 IU/mL  & 16.333333  & 0.45092498 & 83.80000   & 1.0440307  & CD4- CD8+ \\\\\n",
       "\t Donor 15   & Day 8      & no IL2     &  4.646667  & 0.32316147 & 30.73333   & 2.3094011  & CD4- CD8+ \\\\\n",
       "\t Donor 15   & Day 8      & 200 IU/mL  &  4.506667  & 0.06506407 & 28.80000   & 2.2338308  & CD4- CD8+ \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "Donor | Day | Condition | Freq_mean | Freq_sd | CD25_mean | CD25_sd | Population | \n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| Donor 14   | Day 5      | no IL2     | 77.466667  | 0.58594653 | 87.00000   | 0.1732051  | CD4+ CD8-  | \n",
       "| Donor 14   | Day 5      | 200 IU/mL  | 78.633333  | 1.33166562 | 86.70000   | 0.4582576  | CD4+ CD8-  | \n",
       "| Donor 14   | Day 8      | no IL2     | 79.666667  | 0.90737717 | 52.90000   | 0.5000000  | CD4+ CD8-  | \n",
       "| Donor 14   | Day 8      | 200 IU/mL  | 80.633333  | 0.51316014 | 52.43333   | 0.8621678  | CD4+ CD8-  | \n",
       "| Donor 15   | Day 5      | no IL2     | 72.966667  | 0.45092498 | 86.36667   | 0.4041452  | CD4+ CD8-  | \n",
       "| Donor 15   | Day 5      | 200 IU/mL  | 73.300000  | 1.05356538 | 85.83333   | 0.1527525  | CD4+ CD8-  | \n",
       "| Donor 15   | Day 8      | no IL2     | 84.600000  | 0.20000000 | 44.03333   | 1.0066446  | CD4+ CD8-  | \n",
       "| Donor 15   | Day 8      | 200 IU/mL  | 85.100000  | 0.70000000 | 43.13333   | 1.4571662  | CD4+ CD8-  | \n",
       "| Donor 14   | Day 5      | no IL2     | 11.466667  | 0.11547005 | 85.80000   | 0.3605551  | CD4- CD8+  | \n",
       "| Donor 14   | Day 5      | 200 IU/mL  | 11.366667  | 0.11547005 | 86.43333   | 0.3055050  | CD4- CD8+  | \n",
       "| Donor 14   | Day 8      | no IL2     |  6.116667  | 0.32715949 | 57.70000   | 1.7349352  | CD4- CD8+  | \n",
       "| Donor 14   | Day 8      | 200 IU/mL  |  5.490000  | 0.09539392 | 56.36667   | 1.2662280  | CD4- CD8+  | \n",
       "| Donor 15   | Day 5      | no IL2     | 16.466667  | 0.15275252 | 83.76667   | 0.9814955  | CD4- CD8+  | \n",
       "| Donor 15   | Day 5      | 200 IU/mL  | 16.333333  | 0.45092498 | 83.80000   | 1.0440307  | CD4- CD8+  | \n",
       "| Donor 15   | Day 8      | no IL2     |  4.646667  | 0.32316147 | 30.73333   | 2.3094011  | CD4- CD8+  | \n",
       "| Donor 15   | Day 8      | 200 IU/mL  |  4.506667  | 0.06506407 | 28.80000   | 2.2338308  | CD4- CD8+  | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "   Donor    Day   Condition Freq_mean Freq_sd    CD25_mean CD25_sd   Population\n",
       "1  Donor 14 Day 5 no IL2    77.466667 0.58594653 87.00000  0.1732051 CD4+ CD8- \n",
       "2  Donor 14 Day 5 200 IU/mL 78.633333 1.33166562 86.70000  0.4582576 CD4+ CD8- \n",
       "3  Donor 14 Day 8 no IL2    79.666667 0.90737717 52.90000  0.5000000 CD4+ CD8- \n",
       "4  Donor 14 Day 8 200 IU/mL 80.633333 0.51316014 52.43333  0.8621678 CD4+ CD8- \n",
       "5  Donor 15 Day 5 no IL2    72.966667 0.45092498 86.36667  0.4041452 CD4+ CD8- \n",
       "6  Donor 15 Day 5 200 IU/mL 73.300000 1.05356538 85.83333  0.1527525 CD4+ CD8- \n",
       "7  Donor 15 Day 8 no IL2    84.600000 0.20000000 44.03333  1.0066446 CD4+ CD8- \n",
       "8  Donor 15 Day 8 200 IU/mL 85.100000 0.70000000 43.13333  1.4571662 CD4+ CD8- \n",
       "9  Donor 14 Day 5 no IL2    11.466667 0.11547005 85.80000  0.3605551 CD4- CD8+ \n",
       "10 Donor 14 Day 5 200 IU/mL 11.366667 0.11547005 86.43333  0.3055050 CD4- CD8+ \n",
       "11 Donor 14 Day 8 no IL2     6.116667 0.32715949 57.70000  1.7349352 CD4- CD8+ \n",
       "12 Donor 14 Day 8 200 IU/mL  5.490000 0.09539392 56.36667  1.2662280 CD4- CD8+ \n",
       "13 Donor 15 Day 5 no IL2    16.466667 0.15275252 83.76667  0.9814955 CD4- CD8+ \n",
       "14 Donor 15 Day 5 200 IU/mL 16.333333 0.45092498 83.80000  1.0440307 CD4- CD8+ \n",
       "15 Donor 15 Day 8 no IL2     4.646667 0.32316147 30.73333  2.3094011 CD4- CD8+ \n",
       "16 Donor 15 Day 8 200 IU/mL  4.506667 0.06506407 28.80000  2.2338308 CD4- CD8+ "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cd48_grp <-\n",
    "    read_tsv(\n",
    "        'il2-flow-long.tsv',\n",
    "        col_types=cols(\n",
    "            `Donor`=col_factor(levels=c(\"D14\", \"D15\")),\n",
    "            `Day`=col_factor(levels=c(\"5\", \"8\")),\n",
    "            `Condition`=col_factor(levels=c(\"-IL2\", \"+IL2\")),\n",
    "            `Replicate`=col_factor(levels=paste(\"r\", 1:3, sep=\"\")),\n",
    "            .default=col_double()\n",
    "        )\n",
    "    ) %>%\n",
    "    mutate(\n",
    "        `Day`=factor(`Day`, labels=c(\"Day 5\", \"Day 8\")),\n",
    "        `Donor`=factor(`Donor`, labels=c(\"Donor 14\", \"Donor 15\")),\n",
    "        `Condition`=factor(`Condition`, labels=c(\"no IL2\", \"200 IU/mL\"))\n",
    "    ) %>%\n",
    "    group_by(`Donor`, `Day`, `Condition`)\n",
    "\n",
    "cd48_25 <- \n",
    "    rbind(\n",
    "        cd48_grp %>%\n",
    "            summarize(\n",
    "                `Freq_mean`=mean(`Live/CD4+ CD8- | Freq. of Parent`),\n",
    "                `Freq_sd`=sd(`Live/CD4+ CD8- | Freq. of Parent`),\n",
    "                `CD25_mean`=mean(`Live/CD4+ CD8-/CD25+ | Freq. of Parent`),\n",
    "                `CD25_sd`=sd(`Live/CD4+ CD8-/CD25+ | Freq. of Parent`),\n",
    "            ) %>%\n",
    "            mutate(`Population`=\"CD4+ CD8-\"),\n",
    "        cd48_grp %>%\n",
    "            summarize(\n",
    "                `Freq_mean`=mean(`Live/CD4- CD8+ | Freq. of Parent`),\n",
    "                `Freq_sd`=sd(`Live/CD4- CD8+ | Freq. of Parent`),\n",
    "                `CD25_mean`=mean(`Live/CD4- CD8+/CD25+ | Freq. of Parent`),\n",
    "                `CD25_sd`=sd(`Live/CD4- CD8+/CD25+ | Freq. of Parent`),\n",
    "            ) %>%\n",
    "            mutate(`Population`=\"CD4- CD8+\")\n",
    "    )\n",
    "\n",
    "cd48_25"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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AGSSyrCa9mYP3++vPrqq9KmTRuT9V9/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\nny76wVO/8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CCAQJQCBEhR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\nBBBAAAEEEEAAAb8JRB0gWQD79u2T9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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cd48_25 %>%\n",
    "    ggplot(aes(x=`Condition`, y=`Freq_mean`, fill=`Condition`)) +\n",
    "    geom_col() +\n",
    "    geom_errorbar(\n",
    "        aes(ymax=`Freq_mean`+`Freq_sd`, ymin=`Freq_mean`-`Freq_sd`),\n",
    "        width=.2\n",
    "    ) +\n",
    "    facet_wrap(~`Donor` + `Day` + `Population`, ncol=4) +\n",
    "    ylab('Percent population (%)\\n(n=3)') +\n",
    "    ylim(0, 100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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asmZ555pjz11FPSunVrkyzpZYR6aZ0+D4oFAQQQQAAB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U9/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\nIIAAAggggECoAv8BpwoGZQiAXIoAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cd48_25 %>%\n",
    "    ggplot(aes(x=`Condition`, y=`CD25_mean`, fill=`Condition`)) +\n",
    "    geom_col() +\n",
    "    geom_errorbar(\n",
    "        aes(ymax=`CD25_mean`+`CD25_sd`, ymin=`CD25_mean`-`CD25_sd`),\n",
    "        width=.2\n",
    "    ) +\n",
    "    facet_wrap(~`Donor` + `Day` + `Population`, ncol=4) +\n",
    "    ylab('Percent CD25 Positive (%)\\n(n=3)') +\n",
    "    ylim(0, 100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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n/+/KRFBwIJLnpI+ICGp394ioLj9G3IwAQhBQH0t7/9Taqrq8322A5WLFipnnnm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\ngARIgAS8SKBf+zGCqaESE5Esn66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BlG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\nSUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "read_tsv(\n",
    "    'il2-sigma-nih-counts.tsv',\n",
    "    col_types=cols(\n",
    "        `donor id`=col_factor(levels=c('4', '15', '16', '17')),\n",
    "        `Replicate`=col_factor(paste(\"R\", 1:2, sep=\"\")),\n",
    "        `IL2 Source`=col_factor(levels=c('Sigma', 'NIH')),\n",
    "        .default=col_number()\n",
    "    )\n",
    ") %>%\n",
    "mutate(\n",
    "    `Donor`=`donor id`,\n",
    "    `IL2 Source`=factor(`IL2 Source`, labels=c('IL2 Source: Sigma', 'IL2 Source: NCI BRBP'))\n",
    ") %>%\n",
    "group_by(`Donor`, `IL-2 conct`, `IL2 Source`) %>%\n",
    "summarize(\n",
    "    `Avg_live_count`=mean(`live count (cells/ml)`)\n",
    ") %>%\n",
    "ggplot(aes(x=`IL-2 conct`, y=`Avg_live_count`, color=`Donor`, group=`Donor`)) +\n",
    "    geom_point() +\n",
    "    geom_line() +\n",
    "    facet_wrap(~`IL2 Source`, ncol=1) +\n",
    "    ylim (0, 7e5) +\n",
    "    xlab('IL2 Concentration (IU/ml)') +\n",
    "    ylab('Average live cell count per mL\\n(n=2)')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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O9416BQQBFDgPUJz/K//vUv8+5h8gn8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\nSIAEKkHg/wCPjNPaYsGPdwAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "read_tsv(\n",
    "    'il2-sigma-nih-flow.tsv',\n",
    "    col_types=cols(\n",
    "        `Sample:`=col_character(),\n",
    "        `Donor`=col_factor(levels=c(\"D4\", \"D15\", \"D16\", \"D17\")),\n",
    "        `IL2 Source`=col_factor(levels=c('Sigma', 'NIH')),\n",
    "        .default=col_number()\n",
    "    )\n",
    ") %>%\n",
    "mutate(\n",
    "    `CD4+ CD8-`=`Live/CD4+ CD8- | Freq. of Parent`,\n",
    "    `CD4- CD8+`=`Live/CD4- CD8+ | Freq. of Parent`,\n",
    "    `CD25+`=`Live/CD25+ | Freq. of Parent`,\n",
    "    `IL2 Source`=factor(`IL2 Source`, labels=c('IL2 Source: Sigma', 'IL2 Source: NCI BRBP'))\n",
    ") %>%\n",
    "gather(\n",
    "    key='Population',\n",
    "    value='Frequency',\n",
    "    `CD4+ CD8-`:`CD25+`,\n",
    "    factor_key=TRUE\n",
    ") %>%\n",
    "ggplot(aes(x=`IL2 concentration (IU/mL)`, y=`Frequency`, color=`Donor`)) +\n",
    "    geom_point() +\n",
    "    geom_line() +\n",
    "    facet_wrap(~`IL2 Source` + `Population`) +\n",
    "    ylim(0, 100) +\n",
    "    ylab('Percent Population (%)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>Donor</th><th scope=col>Day</th><th scope=col>Condition</th><th scope=col>Freq_mean</th><th scope=col>Freq_sd</th><th scope=col>CD25_mean</th><th scope=col>CD25_sd</th><th scope=col>Population</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>D14       </td><td>Day 5     </td><td>-IL2      </td><td>77.466667 </td><td>0.58594653</td><td>87.00000  </td><td>0.1732051 </td><td>CD4+ CD8- </td></tr>\n",
       "\t<tr><td>D14       </td><td>Day 5     </td><td>+IL2      </td><td>78.633333 </td><td>1.33166562</td><td>86.70000  </td><td>0.4582576 </td><td>CD4+ CD8- </td></tr>\n",
       "\t<tr><td>D14       </td><td>Day 8     </td><td>-IL2      </td><td>79.666667 </td><td>0.90737717</td><td>52.90000  </td><td>0.5000000 </td><td>CD4+ CD8- </td></tr>\n",
       "\t<tr><td>D14       </td><td>Day 8     </td><td>+IL2      </td><td>80.633333 </td><td>0.51316014</td><td>52.43333  </td><td>0.8621678 </td><td>CD4+ CD8- </td></tr>\n",
       "\t<tr><td>D15       </td><td>Day 5     </td><td>-IL2      </td><td>72.966667 </td><td>0.45092498</td><td>86.36667  </td><td>0.4041452 </td><td>CD4+ CD8- </td></tr>\n",
       "\t<tr><td>D15       </td><td>Day 5     </td><td>+IL2      </td><td>73.300000 </td><td>1.05356538</td><td>85.83333  </td><td>0.1527525 </td><td>CD4+ CD8- </td></tr>\n",
       "\t<tr><td>D15       </td><td>Day 8     </td><td>-IL2      </td><td>84.600000 </td><td>0.20000000</td><td>44.03333  </td><td>1.0066446 </td><td>CD4+ CD8- </td></tr>\n",
       "\t<tr><td>D15       </td><td>Day 8     </td><td>+IL2      </td><td>85.100000 </td><td>0.70000000</td><td>43.13333  </td><td>1.4571662 </td><td>CD4+ CD8- </td></tr>\n",
       "\t<tr><td>D14       </td><td>Day 5     </td><td>-IL2      </td><td>11.466667 </td><td>0.11547005</td><td>85.80000  </td><td>0.3605551 </td><td>CD4- CD8+ </td></tr>\n",
       "\t<tr><td>D14       </td><td>Day 5     </td><td>+IL2      </td><td>11.366667 </td><td>0.11547005</td><td>86.43333  </td><td>0.3055050 </td><td>CD4- CD8+ </td></tr>\n",
       "\t<tr><td>D14       </td><td>Day 8     </td><td>-IL2      </td><td> 6.116667 </td><td>0.32715949</td><td>57.70000  </td><td>1.7349352 </td><td>CD4- CD8+ </td></tr>\n",
       "\t<tr><td>D14       </td><td>Day 8     </td><td>+IL2      </td><td> 5.490000 </td><td>0.09539392</td><td>56.36667  </td><td>1.2662280 </td><td>CD4- CD8+ </td></tr>\n",
       "\t<tr><td>D15       </td><td>Day 5     </td><td>-IL2      </td><td>16.466667 </td><td>0.15275252</td><td>83.76667  </td><td>0.9814955 </td><td>CD4- CD8+ </td></tr>\n",
       "\t<tr><td>D15       </td><td>Day 5     </td><td>+IL2      </td><td>16.333333 </td><td>0.45092498</td><td>83.80000  </td><td>1.0440307 </td><td>CD4- CD8+ </td></tr>\n",
       "\t<tr><td>D15       </td><td>Day 8     </td><td>-IL2      </td><td> 4.646667 </td><td>0.32316147</td><td>30.73333  </td><td>2.3094011 </td><td>CD4- CD8+ </td></tr>\n",
       "\t<tr><td>D15       </td><td>Day 8     </td><td>+IL2      </td><td> 4.506667 </td><td>0.06506407</td><td>28.80000  </td><td>2.2338308 </td><td>CD4- CD8+ </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|llllllll}\n",
       " Donor & Day & Condition & Freq\\_mean & Freq\\_sd & CD25\\_mean & CD25\\_sd & Population\\\\\n",
       "\\hline\n",
       "\t D14        & Day 5      & -IL2       & 77.466667  & 0.58594653 & 87.00000   & 0.1732051  & CD4+ CD8- \\\\\n",
       "\t D14        & Day 5      & +IL2       & 78.633333  & 1.33166562 & 86.70000   & 0.4582576  & CD4+ CD8- \\\\\n",
       "\t D14        & Day 8      & -IL2       & 79.666667  & 0.90737717 & 52.90000   & 0.5000000  & CD4+ CD8- \\\\\n",
       "\t D14        & Day 8      & +IL2       & 80.633333  & 0.51316014 & 52.43333   & 0.8621678  & CD4+ CD8- \\\\\n",
       "\t D15        & Day 5      & -IL2       & 72.966667  & 0.45092498 & 86.36667   & 0.4041452  & CD4+ CD8- \\\\\n",
       "\t D15        & Day 5      & +IL2       & 73.300000  & 1.05356538 & 85.83333   & 0.1527525  & CD4+ CD8- \\\\\n",
       "\t D15        & Day 8      & -IL2       & 84.600000  & 0.20000000 & 44.03333   & 1.0066446  & CD4+ CD8- \\\\\n",
       "\t D15        & Day 8      & +IL2       & 85.100000  & 0.70000000 & 43.13333   & 1.4571662  & CD4+ CD8- \\\\\n",
       "\t D14        & Day 5      & -IL2       & 11.466667  & 0.11547005 & 85.80000   & 0.3605551  & CD4- CD8+ \\\\\n",
       "\t D14        & Day 5      & +IL2       & 11.366667  & 0.11547005 & 86.43333   & 0.3055050  & CD4- CD8+ \\\\\n",
       "\t D14        & Day 8      & -IL2       &  6.116667  & 0.32715949 & 57.70000   & 1.7349352  & CD4- CD8+ \\\\\n",
       "\t D14        & Day 8      & +IL2       &  5.490000  & 0.09539392 & 56.36667   & 1.2662280  & CD4- CD8+ \\\\\n",
       "\t D15        & Day 5      & -IL2       & 16.466667  & 0.15275252 & 83.76667   & 0.9814955  & CD4- CD8+ \\\\\n",
       "\t D15        & Day 5      & +IL2       & 16.333333  & 0.45092498 & 83.80000   & 1.0440307  & CD4- CD8+ \\\\\n",
       "\t D15        & Day 8      & -IL2       &  4.646667  & 0.32316147 & 30.73333   & 2.3094011  & CD4- CD8+ \\\\\n",
       "\t D15        & Day 8      & +IL2       &  4.506667  & 0.06506407 & 28.80000   & 2.2338308  & CD4- CD8+ \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "Donor | Day | Condition | Freq_mean | Freq_sd | CD25_mean | CD25_sd | Population | \n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| D14        | Day 5      | -IL2       | 77.466667  | 0.58594653 | 87.00000   | 0.1732051  | CD4+ CD8-  | \n",
       "| D14        | Day 5      | +IL2       | 78.633333  | 1.33166562 | 86.70000   | 0.4582576  | CD4+ CD8-  | \n",
       "| D14        | Day 8      | -IL2       | 79.666667  | 0.90737717 | 52.90000   | 0.5000000  | CD4+ CD8-  | \n",
       "| D14        | Day 8      | +IL2       | 80.633333  | 0.51316014 | 52.43333   | 0.8621678  | CD4+ CD8-  | \n",
       "| D15        | Day 5      | -IL2       | 72.966667  | 0.45092498 | 86.36667   | 0.4041452  | CD4+ CD8-  | \n",
       "| D15        | Day 5      | +IL2       | 73.300000  | 1.05356538 | 85.83333   | 0.1527525  | CD4+ CD8-  | \n",
       "| D15        | Day 8      | -IL2       | 84.600000  | 0.20000000 | 44.03333   | 1.0066446  | CD4+ CD8-  | \n",
       "| D15        | Day 8      | +IL2       | 85.100000  | 0.70000000 | 43.13333   | 1.4571662  | CD4+ CD8-  | \n",
       "| D14        | Day 5      | -IL2       | 11.466667  | 0.11547005 | 85.80000   | 0.3605551  | CD4- CD8+  | \n",
       "| D14        | Day 5      | +IL2       | 11.366667  | 0.11547005 | 86.43333   | 0.3055050  | CD4- CD8+  | \n",
       "| D14        | Day 8      | -IL2       |  6.116667  | 0.32715949 | 57.70000   | 1.7349352  | CD4- CD8+  | \n",
       "| D14        | Day 8      | +IL2       |  5.490000  | 0.09539392 | 56.36667   | 1.2662280  | CD4- CD8+  | \n",
       "| D15        | Day 5      | -IL2       | 16.466667  | 0.15275252 | 83.76667   | 0.9814955  | CD4- CD8+  | \n",
       "| D15        | Day 5      | +IL2       | 16.333333  | 0.45092498 | 83.80000   | 1.0440307  | CD4- CD8+  | \n",
       "| D15        | Day 8      | -IL2       |  4.646667  | 0.32316147 | 30.73333   | 2.3094011  | CD4- CD8+  | \n",
       "| D15        | Day 8      | +IL2       |  4.506667  | 0.06506407 | 28.80000   | 2.2338308  | CD4- CD8+  | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "   Donor Day   Condition Freq_mean Freq_sd    CD25_mean CD25_sd   Population\n",
       "1  D14   Day 5 -IL2      77.466667 0.58594653 87.00000  0.1732051 CD4+ CD8- \n",
       "2  D14   Day 5 +IL2      78.633333 1.33166562 86.70000  0.4582576 CD4+ CD8- \n",
       "3  D14   Day 8 -IL2      79.666667 0.90737717 52.90000  0.5000000 CD4+ CD8- \n",
       "4  D14   Day 8 +IL2      80.633333 0.51316014 52.43333  0.8621678 CD4+ CD8- \n",
       "5  D15   Day 5 -IL2      72.966667 0.45092498 86.36667  0.4041452 CD4+ CD8- \n",
       "6  D15   Day 5 +IL2      73.300000 1.05356538 85.83333  0.1527525 CD4+ CD8- \n",
       "7  D15   Day 8 -IL2      84.600000 0.20000000 44.03333  1.0066446 CD4+ CD8- \n",
       "8  D15   Day 8 +IL2      85.100000 0.70000000 43.13333  1.4571662 CD4+ CD8- \n",
       "9  D14   Day 5 -IL2      11.466667 0.11547005 85.80000  0.3605551 CD4- CD8+ \n",
       "10 D14   Day 5 +IL2      11.366667 0.11547005 86.43333  0.3055050 CD4- CD8+ \n",
       "11 D14   Day 8 -IL2       6.116667 0.32715949 57.70000  1.7349352 CD4- CD8+ \n",
       "12 D14   Day 8 +IL2       5.490000 0.09539392 56.36667  1.2662280 CD4- CD8+ \n",
       "13 D15   Day 5 -IL2      16.466667 0.15275252 83.76667  0.9814955 CD4- CD8+ \n",
       "14 D15   Day 5 +IL2      16.333333 0.45092498 83.80000  1.0440307 CD4- CD8+ \n",
       "15 D15   Day 8 -IL2       4.646667 0.32316147 30.73333  2.3094011 CD4- CD8+ \n",
       "16 D15   Day 8 +IL2       4.506667 0.06506407 28.80000  2.2338308 CD4- CD8+ "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cd48_grp <-\n",
    "    read_tsv(\n",
    "        'il2-flow-long.tsv',\n",
    "        col_types=cols(\n",
    "            `Donor`=col_factor(levels=c(\"D14\", \"D15\")),\n",
    "            `Day`=col_factor(levels=c(\"5\", \"8\")),\n",
    "            `Condition`=col_factor(levels=c(\"-IL2\", \"+IL2\")),\n",
    "            `Replicate`=col_factor(levels=paste(\"r\", 1:3, sep=\"\")),\n",
    "            .default=col_double()\n",
    "        )\n",
    "    ) %>%\n",
    "    mutate(`Day`=factor(`Day`, labels=c(\"Day 5\", \"Day 8\"))) %>%\n",
    "    group_by(`Donor`, `Day`, `Condition`)\n",
    "\n",
    "cd48_25 <- \n",
    "    rbind(\n",
    "        cd48_grp %>%\n",
    "            summarize(\n",
    "                `Freq_mean`=mean(`Live/CD4+ CD8- | Freq. of Parent`),\n",
    "                `Freq_sd`=sd(`Live/CD4+ CD8- | Freq. of Parent`),\n",
    "                `CD25_mean`=mean(`Live/CD4+ CD8-/CD25+ | Freq. of Parent`),\n",
    "                `CD25_sd`=sd(`Live/CD4+ CD8-/CD25+ | Freq. of Parent`),\n",
    "            ) %>%\n",
    "            mutate(`Population`=\"CD4+ CD8-\"),\n",
    "        cd48_grp %>%\n",
    "            summarize(\n",
    "                `Freq_mean`=mean(`Live/CD4- CD8+ | Freq. of Parent`),\n",
    "                `Freq_sd`=sd(`Live/CD4- CD8+ | Freq. of Parent`),\n",
    "                `CD25_mean`=mean(`Live/CD4- CD8+/CD25+ | Freq. of Parent`),\n",
    "                `CD25_sd`=sd(`Live/CD4- CD8+/CD25+ | Freq. of Parent`),\n",
    "            ) %>%\n",
    "            mutate(`Population`=\"CD4- CD8+\")\n",
    "    )\n",
    "\n",
    "cd48_25"
   ]
  }
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