PXD009019_QC_check.ipynb

{
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   "cell_type": "markdown",
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   "source": [
    "# PXD009019 Spectral Counting (SpC) Quality Control\n",
    "\n",
    "## Phil Wilmarth, OHSU\n",
    "\n",
    "### July 2019\n",
    "\n",
    "Some samples had low protein ID numbers and smaller numbers of PSMs. They might need to be excluded. We can look at boxplots to see how data distributions look, at MDS clustering plots to see if samples group by condition, and coefficient of variation distributions to assess sample quality. \n",
    "\n",
    "---\n",
    "\n",
    "## Load R libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "── \u001b[1mAttaching packages\u001b[22m ─────────────────────────────────────── tidyverse 1.2.1 ──\n",
      "\u001b[32m✔\u001b[39m \u001b[34mggplot2\u001b[39m 3.1.1     \u001b[32m✔\u001b[39m \u001b[34mpurrr  \u001b[39m 0.3.2\n",
      "\u001b[32m✔\u001b[39m \u001b[34mtibble \u001b[39m 2.1.1     \u001b[32m✔\u001b[39m \u001b[34mdplyr  \u001b[39m 0.8.1\n",
      "\u001b[32m✔\u001b[39m \u001b[34mtidyr  \u001b[39m 0.8.3     \u001b[32m✔\u001b[39m \u001b[34mstringr\u001b[39m 1.4.0\n",
      "\u001b[32m✔\u001b[39m \u001b[34mreadr  \u001b[39m 1.3.1     \u001b[32m✔\u001b[39m \u001b[34mforcats\u001b[39m 0.4.0\n",
      "── \u001b[1mConflicts\u001b[22m ────────────────────────────────────────── tidyverse_conflicts() ──\n",
      "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mfilter()\u001b[39m masks \u001b[34mstats\u001b[39m::filter()\n",
      "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mlag()\u001b[39m    masks \u001b[34mstats\u001b[39m::lag()\n",
      "Loading required package: limma\n",
      "\n",
      "Attaching package: ‘psych’\n",
      "\n",
      "The following objects are masked from ‘package:ggplot2’:\n",
      "\n",
      "    %+%, alpha\n",
      "\n",
      "\n",
      "Attaching package: ‘gridExtra’\n",
      "\n",
      "The following object is masked from ‘package:dplyr’:\n",
      "\n",
      "    combine\n",
      "\n",
      "\n",
      "Attaching package: ‘scales’\n",
      "\n",
      "The following objects are masked from ‘package:psych’:\n",
      "\n",
      "    alpha, rescale\n",
      "\n",
      "The following object is masked from ‘package:purrr’:\n",
      "\n",
      "    discard\n",
      "\n",
      "The following object is masked from ‘package:readr’:\n",
      "\n",
      "    col_factor\n",
      "\n"
     ]
    }
   ],
   "source": [
    "library(\"tidyverse\")\n",
    "library(\"edgeR\")\n",
    "library(\"limma\")\n",
    "library(\"psych\")\n",
    "library(\"gridExtra\")\n",
    "library(\"scales\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data was prepped in Excel and exported to text file\n",
    "\n",
    "The PAW pipeline, like most proteomics summary tables, has a lot more information that we need for the statistical analysis. Selecting the relevant columns from a large table is not too hard to do in R. Row filtering can be trickier. Decoy protein sequences and common contaminants are easy to drop. Missing data and filtering out low abundance data can be trickier.\n",
    "\n",
    "The situation here needs to also allow for proteins that are in only one condition. One way to handle that is to require a minimum average spectral count across the 10 samples of 2.5. If we have expression in one condition of 5 (a level that is well above the minimum detection of 1 or 2) and nothing in the other condition, we will hit the average of 2.5. We did that in Excel and also tested for zero values and replaced them with a count of 0.25. This gives us 669 proteins that we can test.\n",
    "\n",
    "### Read in the data\n",
    "\n",
    "The data exported in the `QC_check_669x19.txt` file excluded contaminants, decoys, and any proteins with an average SpC of less than 2.5. We will read that data in and separate the accessions from the count data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Parsed with column specification:\n",
      "cols(\n",
      "  .default = col_double(),\n",
      "  Accession = \u001b[31mcol_character()\u001b[39m\n",
      ")\n",
      "See spec(...) for full column specifications.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A tibble: 6 × 19</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>Control-08</th><th scope=col>Control-09</th><th scope=col>Control-10</th><th scope=col>Control-11</th><th scope=col>Control-12</th><th scope=col>Control-18</th><th scope=col>Control-19</th><th scope=col>Control-20</th><th scope=col>Lepto-01</th><th scope=col>Lepto-02</th><th scope=col>Lepto-03</th><th scope=col>Lepto-04</th><th scope=col>Lepto-05</th><th scope=col>Lepto-06</th><th scope=col>Lepto-13</th><th scope=col>Lepto-14</th><th scope=col>Lepto-15</th><th scope=col>Lepto-16</th><th scope=col>Lepto-17</th></tr>\n",
       "\t<tr><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><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><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><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><td>1083.5</td><td>652.0</td><td>545.3</td><td>524.3</td><td>465.4</td><td>434.5</td><td>1142.5</td><td>877.1</td><td>625.4</td><td>1412.6</td><td>498.5</td><td>625.3</td><td>1311.6</td><td>1665.3</td><td>1201.8</td><td>946.1</td><td>1002.8</td><td>780.5</td><td>1206.6</td></tr>\n",
       "\t<tr><td> 354.0</td><td>183.0</td><td>130.0</td><td> 73.0</td><td> 64.0</td><td> 84.0</td><td> 355.0</td><td> 20.0</td><td>239.0</td><td> 663.0</td><td>130.0</td><td>191.0</td><td> 414.0</td><td> 440.0</td><td> 337.0</td><td>244.0</td><td> 360.0</td><td>335.0</td><td> 440.0</td></tr>\n",
       "\t<tr><td> 192.0</td><td>109.0</td><td>206.0</td><td> 88.0</td><td>154.0</td><td>173.0</td><td> 314.0</td><td>455.0</td><td>166.0</td><td>  39.0</td><td>251.0</td><td>354.0</td><td> 160.0</td><td>  62.0</td><td> 186.0</td><td>280.0</td><td> 154.0</td><td>117.0</td><td> 197.0</td></tr>\n",
       "\t<tr><td> 282.0</td><td>150.9</td><td>146.9</td><td> 89.0</td><td> 75.0</td><td> 75.0</td><td> 150.0</td><td>203.0</td><td>168.0</td><td> 349.0</td><td> 90.0</td><td>112.0</td><td> 271.0</td><td> 355.0</td><td> 231.8</td><td>201.0</td><td> 169.0</td><td>223.0</td><td> 217.0</td></tr>\n",
       "\t<tr><td> 131.0</td><td>102.0</td><td> 17.0</td><td> 25.0</td><td> 21.0</td><td> 40.0</td><td>  49.0</td><td>112.0</td><td>127.0</td><td> 541.0</td><td>105.0</td><td>151.0</td><td> 336.0</td><td> 433.0</td><td> 169.0</td><td>126.0</td><td> 291.0</td><td>215.0</td><td> 366.0</td></tr>\n",
       "\t<tr><td> 114.0</td><td>104.0</td><td> 84.0</td><td> 24.0</td><td> 24.0</td><td> 70.0</td><td>  56.0</td><td>151.0</td><td>214.0</td><td>  67.0</td><td>395.0</td><td>545.0</td><td> 307.0</td><td>  71.0</td><td>  82.0</td><td>430.0</td><td> 297.0</td><td> 83.0</td><td> 236.0</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 6 × 19\n",
       "\\begin{tabular}{r|lllllllllllllllllll}\n",
       " Control-08 & Control-09 & Control-10 & Control-11 & Control-12 & Control-18 & Control-19 & Control-20 & Lepto-01 & Lepto-02 & Lepto-03 & Lepto-04 & Lepto-05 & Lepto-06 & Lepto-13 & Lepto-14 & Lepto-15 & Lepto-16 & Lepto-17\\\\\n",
       " <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t 1083.5 & 652.0 & 545.3 & 524.3 & 465.4 & 434.5 & 1142.5 & 877.1 & 625.4 & 1412.6 & 498.5 & 625.3 & 1311.6 & 1665.3 & 1201.8 & 946.1 & 1002.8 & 780.5 & 1206.6\\\\\n",
       "\t  354.0 & 183.0 & 130.0 &  73.0 &  64.0 &  84.0 &  355.0 &  20.0 & 239.0 &  663.0 & 130.0 & 191.0 &  414.0 &  440.0 &  337.0 & 244.0 &  360.0 & 335.0 &  440.0\\\\\n",
       "\t  192.0 & 109.0 & 206.0 &  88.0 & 154.0 & 173.0 &  314.0 & 455.0 & 166.0 &   39.0 & 251.0 & 354.0 &  160.0 &   62.0 &  186.0 & 280.0 &  154.0 & 117.0 &  197.0\\\\\n",
       "\t  282.0 & 150.9 & 146.9 &  89.0 &  75.0 &  75.0 &  150.0 & 203.0 & 168.0 &  349.0 &  90.0 & 112.0 &  271.0 &  355.0 &  231.8 & 201.0 &  169.0 & 223.0 &  217.0\\\\\n",
       "\t  131.0 & 102.0 &  17.0 &  25.0 &  21.0 &  40.0 &   49.0 & 112.0 & 127.0 &  541.0 & 105.0 & 151.0 &  336.0 &  433.0 &  169.0 & 126.0 &  291.0 & 215.0 &  366.0\\\\\n",
       "\t  114.0 & 104.0 &  84.0 &  24.0 &  24.0 &  70.0 &   56.0 & 151.0 & 214.0 &   67.0 & 395.0 & 545.0 &  307.0 &   71.0 &   82.0 & 430.0 &  297.0 &  83.0 &  236.0\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 6 × 19\n",
       "\n",
       "| Control-08 &lt;dbl&gt; | Control-09 &lt;dbl&gt; | Control-10 &lt;dbl&gt; | Control-11 &lt;dbl&gt; | Control-12 &lt;dbl&gt; | Control-18 &lt;dbl&gt; | Control-19 &lt;dbl&gt; | Control-20 &lt;dbl&gt; | Lepto-01 &lt;dbl&gt; | Lepto-02 &lt;dbl&gt; | Lepto-03 &lt;dbl&gt; | Lepto-04 &lt;dbl&gt; | Lepto-05 &lt;dbl&gt; | Lepto-06 &lt;dbl&gt; | Lepto-13 &lt;dbl&gt; | Lepto-14 &lt;dbl&gt; | Lepto-15 &lt;dbl&gt; | Lepto-16 &lt;dbl&gt; | Lepto-17 &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| 1083.5 | 652.0 | 545.3 | 524.3 | 465.4 | 434.5 | 1142.5 | 877.1 | 625.4 | 1412.6 | 498.5 | 625.3 | 1311.6 | 1665.3 | 1201.8 | 946.1 | 1002.8 | 780.5 | 1206.6 |\n",
       "|  354.0 | 183.0 | 130.0 |  73.0 |  64.0 |  84.0 |  355.0 |  20.0 | 239.0 |  663.0 | 130.0 | 191.0 |  414.0 |  440.0 |  337.0 | 244.0 |  360.0 | 335.0 |  440.0 |\n",
       "|  192.0 | 109.0 | 206.0 |  88.0 | 154.0 | 173.0 |  314.0 | 455.0 | 166.0 |   39.0 | 251.0 | 354.0 |  160.0 |   62.0 |  186.0 | 280.0 |  154.0 | 117.0 |  197.0 |\n",
       "|  282.0 | 150.9 | 146.9 |  89.0 |  75.0 |  75.0 |  150.0 | 203.0 | 168.0 |  349.0 |  90.0 | 112.0 |  271.0 |  355.0 |  231.8 | 201.0 |  169.0 | 223.0 |  217.0 |\n",
       "|  131.0 | 102.0 |  17.0 |  25.0 |  21.0 |  40.0 |   49.0 | 112.0 | 127.0 |  541.0 | 105.0 | 151.0 |  336.0 |  433.0 |  169.0 | 126.0 |  291.0 | 215.0 |  366.0 |\n",
       "|  114.0 | 104.0 |  84.0 |  24.0 |  24.0 |  70.0 |   56.0 | 151.0 | 214.0 |   67.0 | 395.0 | 545.0 |  307.0 |   71.0 |   82.0 | 430.0 |  297.0 |  83.0 |  236.0 |\n",
       "\n"
      ],
      "text/plain": [
       "  Control-08 Control-09 Control-10 Control-11 Control-12 Control-18 Control-19\n",
       "1 1083.5     652.0      545.3      524.3      465.4      434.5      1142.5    \n",
       "2  354.0     183.0      130.0       73.0       64.0       84.0       355.0    \n",
       "3  192.0     109.0      206.0       88.0      154.0      173.0       314.0    \n",
       "4  282.0     150.9      146.9       89.0       75.0       75.0       150.0    \n",
       "5  131.0     102.0       17.0       25.0       21.0       40.0        49.0    \n",
       "6  114.0     104.0       84.0       24.0       24.0       70.0        56.0    \n",
       "  Control-20 Lepto-01 Lepto-02 Lepto-03 Lepto-04 Lepto-05 Lepto-06 Lepto-13\n",
       "1 877.1      625.4    1412.6   498.5    625.3    1311.6   1665.3   1201.8  \n",
       "2  20.0      239.0     663.0   130.0    191.0     414.0    440.0    337.0  \n",
       "3 455.0      166.0      39.0   251.0    354.0     160.0     62.0    186.0  \n",
       "4 203.0      168.0     349.0    90.0    112.0     271.0    355.0    231.8  \n",
       "5 112.0      127.0     541.0   105.0    151.0     336.0    433.0    169.0  \n",
       "6 151.0      214.0      67.0   395.0    545.0     307.0     71.0     82.0  \n",
       "  Lepto-14 Lepto-15 Lepto-16 Lepto-17\n",
       "1 946.1    1002.8   780.5    1206.6  \n",
       "2 244.0     360.0   335.0     440.0  \n",
       "3 280.0     154.0   117.0     197.0  \n",
       "4 201.0     169.0   223.0     217.0  \n",
       "5 126.0     291.0   215.0     366.0  \n",
       "6 430.0     297.0    83.0     236.0  "
      ]
     },
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     "output_type": "display_data"
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       "669"
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       "669"
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       "669"
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       "[1] 669"
      ]
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   "source": [
    "# read in the prepped data\n",
    "paw_spc <- read_tsv(\"QC_check_669x19.txt\")\n",
    "\n",
    "# save accessions in vector and remove from data table\n",
    "accession <- paw_spc$Accession\n",
    "paw_spc <- select(paw_spc, -Accession)\n",
    "\n",
    "# replace zeros with 0.25\n",
    "paw_spc[paw_spc == 0] <- 0.25\n",
    "head(paw_spc)\n",
    "nrow(paw_spc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Normalize data by total counts\n",
    "\n",
    "We will do a basic total count normalization by scaling each run to the average total SpC. We will look at the normalized count distributions with boxplots."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SL Factors:\n",
      " Control-08 -> 1.047887\n",
      " Control-09 -> 1.058103\n",
      " Control-10 -> 1.409200\n",
      " Control-11 -> 1.372545\n",
      " Control-12 -> 1.056654\n",
      " Control-18 -> 1.113593\n",
      " Control-19 -> 1.031992\n",
      " Control-20 -> 0.968974\n",
      " Lepto-01 -> 0.826236\n",
      " Lepto-02 -> 1.079813\n",
      " Lepto-03 -> 0.729820\n",
      " Lepto-04 -> 0.872277\n",
      " Lepto-05 -> 0.788919\n",
      " Lepto-06 -> 1.155092\n",
      " Lepto-13 -> 0.798372\n",
      " Lepto-14 -> 0.792294\n",
      " Lepto-15 -> 1.054273\n",
      " Lepto-16 -> 1.706634\n",
      " Lepto-17 -> 1.018814\n"
     ]
    },
    {
     "data": {
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ZgcSDlItDmYnOXHtV/+QKsZ3lNJjxYO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\nBCAAgfoS+H/bAbFx3tf1NgAAAABJRU5ErkJggg==",
      "text/plain": [
       "Plot with title “SL Normalized data”"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# function for simple normalization\n",
    "SL_Norm <- function(df, color = NULL, plot = TRUE) {\n",
    "    # This makes each channel sum to the average grand total\n",
    "        # df - data frame of TMT intensities\n",
    "        # returns a new data frame with normalized values\n",
    "    \n",
    "    # compute scaling factors to make colsums match the average sum\n",
    "    norm_facs <- mean(c(colSums(df))) / colSums(df)\n",
    "    cat(\"SL Factors:\\n\", sprintf(\"%-5s -> %f\\n\", colnames(df), norm_facs))\n",
    "    df_sl  <- sweep(df, 2, norm_facs, FUN = \"*\")\n",
    "    \n",
    "    # visualize results and return data frame\n",
    "    if(plot == TRUE) {\n",
    "        boxplot(log10(df_sl), col = color, notch = TRUE, main = \"SL Normalized data\")\n",
    "    }\n",
    "    df_sl\n",
    "}\n",
    "\n",
    "# normalize the data before plotting\n",
    "color <- c(rep('blue', 8), rep('red', 11))\n",
    "paw_sl <- SL_Norm(paw_spc, color)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Some distributions look quite different\n",
    "\n",
    "## See how the samples cluster\n",
    "\n",
    "We can use the TMM normalization in edgeR and see how samples cluster in an MDS plot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A data.frame: 19 × 3</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>group</th><th scope=col>lib.size</th><th scope=col>norm.factors</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;fct&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>Control-08</th><td>Control</td><td>10491.80</td><td>1.1413804</td></tr>\n",
       "\t<tr><th scope=row>Control-09</th><td>Control</td><td>10390.50</td><td>1.1066609</td></tr>\n",
       "\t<tr><th scope=row>Control-10</th><td>Control</td><td> 7801.75</td><td>0.9629364</td></tr>\n",
       "\t<tr><th scope=row>Control-11</th><td>Control</td><td> 8010.10</td><td>0.9524250</td></tr>\n",
       "\t<tr><th scope=row>Control-12</th><td>Control</td><td>10404.75</td><td>1.1585797</td></tr>\n",
       "\t<tr><th scope=row>Control-18</th><td>Control</td><td> 9872.75</td><td>1.2964840</td></tr>\n",
       "\t<tr><th scope=row>Control-19</th><td>Control</td><td>10653.40</td><td>1.1002452</td></tr>\n",
       "\t<tr><th scope=row>Control-20</th><td>Control</td><td>11346.25</td><td>1.2620264</td></tr>\n",
       "\t<tr><th scope=row>Lepto-01</th><td>lepto  </td><td>13306.40</td><td>1.0872991</td></tr>\n",
       "\t<tr><th scope=row>Lepto-02</th><td>lepto  </td><td>10181.60</td><td>0.4807876</td></tr>\n",
       "\t<tr><th scope=row>Lepto-03</th><td>lepto  </td><td>15064.30</td><td>1.3377034</td></tr>\n",
       "\t<tr><th scope=row>Lepto-04</th><td>lepto  </td><td>12604.05</td><td>1.3281533</td></tr>\n",
       "\t<tr><th scope=row>Lepto-05</th><td>lepto  </td><td>13935.80</td><td>1.0156030</td></tr>\n",
       "\t<tr><th scope=row>Lepto-06</th><td>lepto  </td><td> 9518.05</td><td>0.6055274</td></tr>\n",
       "\t<tr><th scope=row>Lepto-13</th><td>lepto  </td><td>13770.80</td><td>0.9764889</td></tr>\n",
       "\t<tr><th scope=row>Lepto-14</th><td>lepto  </td><td>13876.45</td><td>1.1930479</td></tr>\n",
       "\t<tr><th scope=row>Lepto-15</th><td>lepto  </td><td>10428.25</td><td>0.8779256</td></tr>\n",
       "\t<tr><th scope=row>Lepto-16</th><td>lepto  </td><td> 6442.05</td><td>0.7933985</td></tr>\n",
       "\t<tr><th scope=row>Lepto-17</th><td>lepto  </td><td>10791.20</td><td>0.8929626</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 19 × 3\n",
       "\\begin{tabular}{r|lll}\n",
       "  & group & lib.size & norm.factors\\\\\n",
       "  & <fct> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\tControl-08 & Control & 10491.80 & 1.1413804\\\\\n",
       "\tControl-09 & Control & 10390.50 & 1.1066609\\\\\n",
       "\tControl-10 & Control &  7801.75 & 0.9629364\\\\\n",
       "\tControl-11 & Control &  8010.10 & 0.9524250\\\\\n",
       "\tControl-12 & Control & 10404.75 & 1.1585797\\\\\n",
       "\tControl-18 & Control &  9872.75 & 1.2964840\\\\\n",
       "\tControl-19 & Control & 10653.40 & 1.1002452\\\\\n",
       "\tControl-20 & Control & 11346.25 & 1.2620264\\\\\n",
       "\tLepto-01 & lepto   & 13306.40 & 1.0872991\\\\\n",
       "\tLepto-02 & lepto   & 10181.60 & 0.4807876\\\\\n",
       "\tLepto-03 & lepto   & 15064.30 & 1.3377034\\\\\n",
       "\tLepto-04 & lepto   & 12604.05 & 1.3281533\\\\\n",
       "\tLepto-05 & lepto   & 13935.80 & 1.0156030\\\\\n",
       "\tLepto-06 & lepto   &  9518.05 & 0.6055274\\\\\n",
       "\tLepto-13 & lepto   & 13770.80 & 0.9764889\\\\\n",
       "\tLepto-14 & lepto   & 13876.45 & 1.1930479\\\\\n",
       "\tLepto-15 & lepto   & 10428.25 & 0.8779256\\\\\n",
       "\tLepto-16 & lepto   &  6442.05 & 0.7933985\\\\\n",
       "\tLepto-17 & lepto   & 10791.20 & 0.8929626\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 19 × 3\n",
       "\n",
       "| <!--/--> | group &lt;fct&gt; | lib.size &lt;dbl&gt; | norm.factors &lt;dbl&gt; |\n",
       "|---|---|---|---|\n",
       "| Control-08 | Control | 10491.80 | 1.1413804 |\n",
       "| Control-09 | Control | 10390.50 | 1.1066609 |\n",
       "| Control-10 | Control |  7801.75 | 0.9629364 |\n",
       "| Control-11 | Control |  8010.10 | 0.9524250 |\n",
       "| Control-12 | Control | 10404.75 | 1.1585797 |\n",
       "| Control-18 | Control |  9872.75 | 1.2964840 |\n",
       "| Control-19 | Control | 10653.40 | 1.1002452 |\n",
       "| Control-20 | Control | 11346.25 | 1.2620264 |\n",
       "| Lepto-01 | lepto   | 13306.40 | 1.0872991 |\n",
       "| Lepto-02 | lepto   | 10181.60 | 0.4807876 |\n",
       "| Lepto-03 | lepto   | 15064.30 | 1.3377034 |\n",
       "| Lepto-04 | lepto   | 12604.05 | 1.3281533 |\n",
       "| Lepto-05 | lepto   | 13935.80 | 1.0156030 |\n",
       "| Lepto-06 | lepto   |  9518.05 | 0.6055274 |\n",
       "| Lepto-13 | lepto   | 13770.80 | 0.9764889 |\n",
       "| Lepto-14 | lepto   | 13876.45 | 1.1930479 |\n",
       "| Lepto-15 | lepto   | 10428.25 | 0.8779256 |\n",
       "| Lepto-16 | lepto   |  6442.05 | 0.7933985 |\n",
       "| Lepto-17 | lepto   | 10791.20 | 0.8929626 |\n",
       "\n"
      ],
      "text/plain": [
       "           group   lib.size norm.factors\n",
       "Control-08 Control 10491.80 1.1413804   \n",
       "Control-09 Control 10390.50 1.1066609   \n",
       "Control-10 Control  7801.75 0.9629364   \n",
       "Control-11 Control  8010.10 0.9524250   \n",
       "Control-12 Control 10404.75 1.1585797   \n",
       "Control-18 Control  9872.75 1.2964840   \n",
       "Control-19 Control 10653.40 1.1002452   \n",
       "Control-20 Control 11346.25 1.2620264   \n",
       "Lepto-01   lepto   13306.40 1.0872991   \n",
       "Lepto-02   lepto   10181.60 0.4807876   \n",
       "Lepto-03   lepto   15064.30 1.3377034   \n",
       "Lepto-04   lepto   12604.05 1.3281533   \n",
       "Lepto-05   lepto   13935.80 1.0156030   \n",
       "Lepto-06   lepto    9518.05 0.6055274   \n",
       "Lepto-13   lepto   13770.80 0.9764889   \n",
       "Lepto-14   lepto   13876.45 1.1930479   \n",
       "Lepto-15   lepto   10428.25 0.8779256   \n",
       "Lepto-16   lepto    6442.05 0.7933985   \n",
       "Lepto-17   lepto   10791.20 0.8929626   "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# load the data into edgeR data structures\n",
    "# group labels need to be factors\n",
    "group <- c(rep(\"Control\", 8), rep(\"lepto\", 11))\n",
    "y <- DGEList(counts = paw_spc, group = group, genes = accession)\n",
    "\n",
    "# run the TMM normalization (and library size corrections)\n",
    "y <- calcNormFactors(y)\n",
    "\n",
    "# check normalizations\n",
    "y$samples"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get the TMM normalized data out of edgeR\n",
    "\n",
    "EdgeR uses the normalization factors as offsets in its modeling. The normalized data values have to be computed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overall Factors (lib.size+TMM):\n",
      " Control-08 -> 0.918088\n",
      " Control-09 -> 0.956123\n",
      " Control-10 -> 1.463440\n",
      " Control-11 -> 1.441106\n",
      " Control-12 -> 0.912026\n",
      " Control-18 -> 0.858933\n",
      " Control-19 -> 0.937966\n",
      " Control-20 -> 0.767792\n",
      " Lepto-01 -> 0.759897\n",
      " Lepto-02 -> 2.245925\n",
      " Lepto-03 -> 0.545577\n",
      " Lepto-04 -> 0.656759\n",
      " Lepto-05 -> 0.776799\n",
      " Lepto-06 -> 1.907580\n",
      " Lepto-13 -> 0.817595\n",
      " Lepto-14 -> 0.664092\n",
      " Lepto-15 -> 1.200868\n",
      " Lepto-16 -> 2.151043\n",
      " Lepto-17 -> 1.140937\n"
     ]
    },
    {
     "data": {
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aD5eu0gcYDkYHJOyTN080mJmeF/k53a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IVJvAg9UuUOX1SuBiUowhHtdrymgT+LC9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\n2joPf9by7FRFuLzlpPgZdt9cxlq1cYoy7KSPi5yb6p9leHM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f7AJEsoAABCCQJHCjDvxdgXZ0W/JE9iHQBwL4Zx8gd6GIc5SH+5CFupBX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\nRU5ErkJggg==",
      "text/plain": [
       "Plot with title “TMM Normalized data”"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "apply_tmm_factors <- function(y, color = NULL, plot = TRUE) {\n",
    "    # computes the tmm normalized data from the DGEList object\n",
    "        # y - DGEList object\n",
    "        # returns a dataframe with normalized intensities\n",
    "    \n",
    "    # compute grand total (library size) scalings\n",
    "    lib_facs <- mean(y$samples$lib.size) / y$samples$lib.size\n",
    "\n",
    "    # the TMM factors are library adjustment factors (so divide by them)\n",
    "    norm_facs <- lib_facs / y$samples$norm.factors\n",
    "    cat(\"Overall Factors (lib.size+TMM):\\n\", sprintf(\"%-5s -> %f\\n\", \n",
    "                                                     colnames(y$counts), norm_facs))\n",
    "\n",
    "    # compute the normalized data as a new data frame\n",
    "    df_tmm <- as.data.frame(sweep(y$counts, 2, norm_facs, FUN = \"*\"))\n",
    "    colnames(df_tmm) <- str_c(colnames(y$counts), \"_tmm\")\n",
    "    \n",
    "    # visualize results and return data frame\n",
    "    if(plot == TRUE) {\n",
    "        boxplot(log10(df_tmm), col = color, notch = TRUE, main = \"TMM Normalized data\")\n",
    "    }\n",
    "    df_tmm\n",
    "}\n",
    "\n",
    "# get normalized data and check boxplots\n",
    "paw_spc_tmm <- apply_tmm_factors(y, color)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Still have distribution tails after TMM\n",
    "\n",
    "The two control samples with low tails do have the medians in line with the other control samples. The three odd-looking lepto samples have both low tails and medians after TMM normalization that are too low (not in line with the other lepto samples).\n",
    "\n",
    "## Check how samples cluster by condition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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OzG3ZZHTZRZ8HHhaPBnuBQsS6yYZ/eg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\nKOU1qpov4OfPPahJ6zu3zv3nX4b+DtFrSlrx4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O/6H6N4MBG28wX9VcrySii+I3K24j88ENbzfg5SNorqfDcnXlzvi3kPuryN1x+pfKBc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\nIIAAAggggEBWgf8BgX8FTsSy1+cAAAAASUVORK5CYII=",
      "text/plain": [
       "Plot with title “Control vs Lepto”"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# check clustering\n",
    "plotMDS(y, col = color, main = \"Control vs Lepto\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Clustering separates by condition\n",
    "\n",
    "The odd distribution effects seem to be smaller than the differences between conditions, at least according to the MDS clustering.\n",
    "\n",
    "## CV distributions are also very useful"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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IWCQJEF/Dftq0i+reEgxbft/FDxtJcVCgIIFFOA9qiY54VatS7wNa26vfJviq8a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\nAggggEAmATpImZhYCAE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jktWqBmDvS05LnpfcOKlB0l6JIkCAwNgC9iCNTeYNBAgQIECAwBgCb8y0leG6Tx48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\nAgQIECAw9wL/H7K1H7/8jEtoAAAAAElFTkSuQmCC",
      "text/plain": [
       "Plot with title “All Lepto after”"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "CV <- function(df) {\n",
    "    # Computes CVs of data frame rows\n",
    "        # df - data frame, \n",
    "        # returns vector of CVs (%)\n",
    "    ave <- rowMeans(df)    # compute averages\n",
    "    sd <- apply(df, 1, sd) # compute standard deviations\n",
    "    cv <- 100 * sd / ave   # compute CVs in percent (last thing gets returned)\n",
    "}\n",
    "\n",
    "labeled_boxplot <- function(df, ylim, title) {\n",
    "    # Makes a box plot with the median value labeled\n",
    "        # df - data frame with data to compute CVs of\n",
    "        # ylim - upper limit for y-axis\n",
    "        # title - plot title\n",
    "    cv = CV(df)\n",
    "    boxplot(cv, ylim = c(0, ylim), notch = TRUE, main = title)\n",
    "    text(x = 0.65, y = boxplot.stats(cv)$stats[3], \n",
    "         labels = round(boxplot.stats(cv)$stats[3], 1))\n",
    "}\n",
    "\n",
    "# define the columns for each condition\n",
    "C <- 1:8\n",
    "L <- 9:19\n",
    "CD <- c(1, 2, 5, 6, 7, 8)\n",
    "LD <- c(9, 11, 12, 13, 15, 16, 17, 19)\n",
    "\n",
    "\n",
    "# see what effect TMM had on CV distributions\n",
    "par(mfrow = c(2, 2))\n",
    "labeled_boxplot(paw_spc[C], 200, \"All Control before\")\n",
    "labeled_boxplot(paw_spc[L], 200, \"All Lepto before\")\n",
    "labeled_boxplot(paw_spc_tmm[C], 200, \"All Control after\")\n",
    "labeled_boxplot(paw_spc_tmm[L], 200, \"All Lepto after\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Some samples could be excluded\n",
    "\n",
    "Lepto samples 2, 6, and 16 have odd data distributions (box plots) and are kind of on the bottom of the cluster plot. The medians for those distributions are not too well in line with the other lepto samples (they are all low). Controls 10 and 11 have more small counts - the boxes in the distributions are very tailed on the low side compared to the other controls. Interestingly, they seem to cluster with the other controls.\n",
    "\n",
    "The three lepto samples has atypically low total protein ID numbers (and smaller total PSM numbers) and seem not so similar to the other lepto samples. The two controls were low on the protein ID numbers but not as dramatically as the lepto samples. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Drop some samples and see how CVs, etc. change"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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MKyXRcXn6Xx93wabes9nmGQMhTvvFGo\nk1d5W5ZGq29U10bzMQ0BBBCookB4r2v1/XdYg42ZM5vmg0mDlaG8Xw+07NC2hOfjOnayvRlq\nG0p7E/YQw7YE/OGNgkAVBE5WJbbNKnKAhj7DEr/BravHWyr+m/V8eysuf5sxmP7v1vr3guix\n5581e3xnND2MurEqUuL5Bjrrmu9s+UifjxSuraylLKM8rIQSriv340Z1C/MVGX44N5M7msOz\nafdHQ1+u5rNFJyrXZtN9SdtoxZ2jKdm0ZoOheOeNQt28Pn8Haddoxe/VuBvbx6JpjCKAAAIp\nCvi9rp333/X1Ord5oYO1nMZHKi73zRhM/3egNmoo79fR4t8xuoEexQcw3caFEt7T293esBwP\nh9qG0t7EmowjgEDSAhep9n6jd/y9mi8rWym/VSYr4bmfajyUhTTyquLnPM9nFH/od4fKH/o9\n3ddsu6FxWUQJyzl1+pT//LNH9Nx2/5k8017R9O9ofAXF6xgTTT9K4/niaWFd7riNUhZUDlbC\n9Es0HsoCGgnTfZ13sxKv26+xybyKt/tGJSxnR427bKOEaXZeSnFn7+fZdDfAWyuhjNOI5389\nTMiGrXrH9WxkdGu2Hu+jbRXXyU5hf9+g8dDJ1SgFAQQQqISAP4D7PfIFxW3VQPEZl1bef315\nWniv9vBYxe3NOso1SnhuF42HMlAb1er7dVhefniuJoT1+qCVO3uuk9tDv3f7ubuV8F7dyvbq\nZQPepKHVNjSu59xecK7Q3uRAeIgAAmkILK1q3qSEN+JGw3F6flhuczbW45eavO6IaP52Okib\nNlj2hpo2Jpre6MO/G8Zzonny2+NLCJZRQmm3gzRBC/Cy3cmJ1+HOxcyKi4fujIXn3fHxd7DC\n4zM1HpdxeuDn8h0kz9OK92BGtn1FCfWwSWhw/QHEZ98oCCCAQNUEQgcpvHcNNJxfFW/l/Tfu\nIIUDRfn3dt+UxweTQhmojfLzrbxfh+Xlh6Hj4TP9od1w2xC2+U2Nbxm9qJXt9cvGKV5Wvr1p\ntQ0N9fSyGnWQaG8EQ0EAgTQFZlO1D1EeUsKbr4dPKfsrjd70NHmm9ZTLlNCg+DUPKJ9S4tJO\nB8lHxc5TQn3cMG6lDPbhX7NMvzziRxreo4TX+4yXL1Hw0b24tNtB+qwWcqDiI5lehxtTn4Ga\nT4mLt8N1eVoJdblX48cqbsTjMk4PPE++wQrzFPUuYrSmFuoGP3wIcIfJnblPKhQEEECgigJu\nB8L7aLNheG8t+v4bd5CO0zq+qbjN8Dp88OhsJSxTo9PLQG1UeL7o+3WYPz8MHY+JemIF5WYl\nbPMkjX9cyZei2+vXjVO8vEbtjT8TFG1DQz29rIE+K9DeCIeCAAJpC7jD8H5lccVHpIoUvymv\npvhStk6XxbRAL7vRTRGKrGthzbSK4jqWUbzcVZV5Cix8Kc0zqsB8g83SSe/hWtnqiocUBBBA\noK4Czd5/4w7SLzMAn0nxe+Ng7+2DtVGdfL/2wcbRWf0GGzTb3sFeGz/fyTaU9iaWZRwBBBBA\nAAEEEEAAgYoKNOogVbSqVAuB+grE17DWdyvZMgQQQAABBBBAAAEEEECggICv7aQggAACCCCA\nAAII9F7ANzzwzRBc/H1MCgIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggg\ngAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAII\nIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAAC\nCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAA\nAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCA\nAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggg\ngAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAII\nIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIDAYAIzDzZD\nAs8PVx3HKIsriypvKc8pdygTs8caUBBAAAEEEChVgPaoVF4WjgACCCAwmMBsmuEI5RnFnaJG\nGa/pqysUBBBAAAEEyhKgPSpLluUigAACCLQk8FvN/YLyQ2VDZSVlYWUpZQ3l08pFymvKugoF\nAQQQQACBMgRoj8pQZZkIIIAAAi0JjNDc05TNCrzqTM1zTIH5mAUBBBBAAIFWBWiPWhVjfgQQ\nQKDiAr4sIMUySpX2JXVXFqj85ZpnzwLzDWWW2/XiFYayAF6LAAIIlChwsZa9fYnL7+dF0x71\n895n2xFAoFWBJNqjVDtIvgHD08o2ytlN9oy3zx8KJjSZpxNPuXN0tHJTJxbGMvpaYDVtvW86\n8oZyo/KgQkFgKALb6sV8F3Mogs1fS3vU3IdnEUAAgSCQTHuUagfpTUkfp5ym7KRcoExSfMOG\nOZSRir+TtLMyWllPKbP4bJY7RxeWuRKWXWsB31HS32P4nHK9Mqfiv+3vKkcqFATaFVhFL6SD\n1K7e4K+jPRrciDkQQAABC9AedenvYHOt516l0R3sXtd0d6B8NL7sMlkr2KrslbD8Wgvspq17\nRYk78zvqsT98xdP0kIJASwL7aW7ObrdE1tbMtEdtsfEiBBDoI4Fk2qNUzyCFv6VLNLKisrSy\nrDKf4s7KY1le1ZCCQAoCvhT0BOVvUWVP1/iuip+Lp0ezMIoAAhURoD2qyI6gGggggMBQBVLv\nIIXtf0QjDgWBVAXmUcV9iWi+eJqfoyCAQBoCtEdp7CdqiQACCAwoUIcO0nBtnS+jW1xZVPHl\nds8p/uLsxOyxBhQEKi1wnWrn78z9WPGldi7+Ta//Vr7mBxQEEKi8AO1R5XcRFUQAAQTqLeDO\n3RGKj7A3+g6Sp41XuvHlZL6DJGjKkAQW1KsfUP6h7KV8Q/m34o7T7AoFgXYFkrnmu90NrMDr\naI8qsBOoAgIIVF4gmfbIb+qplrGq+HbK8cpFyhPKs8owJdzFbheN36JsoNyotFqW1AsWKvCi\nWQvMwywINBNwR/+DyvcVnzF6TTlJOVzxDUcoCCBQXQHao+ruG2qGAAII9I3ACG3pNGWzAlt8\npuY5psB8jWbxZXo+E1UkxzVaANMQQACBHgskc8Sux07trp72qF05XocAAv0mkEx7lOoZpG79\ncvkH9Jc7Z4G/Xp+5eqrAfMyCAAIIIFAvAdqjeu1PtgYBBBCYKdUOks/sPK1so5zdZD96+3yL\n5AlN5mn21FQ96VAQQAABBBBoJEB71EiFaQgggEDCAql2kKr2y+UJ/wlQ9QoJvEd18V3sNlH8\nHaTzFZ+O5uykECgIVFSA9qiiO4ZqIYAAAv0qUJVfLncDeUi/7gS2uyMC/rFjnxW9SvmE8hnF\nd7S7WylymadmoyDQUCCZa74b1j6dibRH6ewraooAAr0RSKY9SvUMUtit/HJ5kGCYusC3tAGP\nKs8pv1beUC5TtlJ2VbgJiBAoCFRYgPaowjuHqiGAAAKtCKTeQfKR9bWVWRTfzvtlJV98uZK/\nR3Rd/gkeI1AhgXVUl5UV/27XnYpvV++Okf+m/TdOQQCBagvQHlV7/1A7BBBAoLCAOxapFn+Q\n9CVI1yp/UR5UtlfyZX9N+Gp+Io8RqJjAsqrPHMr7lTWVVZTPKXNn4xpQEECgogK0RxXdMVQL\nAQQQaEcg1Q7SzNrYUxT/gOYuyk7KXcoZyrcVCgKpCcyTVXi5bOi/8SWy8YWzIQMEEKieAO1R\n9fYJNUIAAQSGJJDqJXbLaavHKP+lXK64nKYcphypPKOcqFAQSEXAd63z94/OVvz9o1Be0Mir\n4QFDBBConMByqhHtUeV2CxVCAAEE2hdItYO0mDbZd477W27TD9TjeZVfKY8olyoUBFIQ+Ksq\nuUVW0dmjCo/Q+DHRY0YRQKBaArRH1dof1AYBBBAYskCql9g9qC133bduILCPpp2nnKnw5fYG\nQEyqpIC/fxTKfRp5ODzQMD6jFE1mFAEEKiDwoOpAe1SBHUEVEEAAgU4JpNpBelwAFyq/UI5V\nllRC8ZklfyfJZ5d884ZVFQoCVRfYUBV8RZmmjFaWUaZkj/+fhhQEEKimAO1RNfcLtUIAAQTa\nFki1g+QN3lW5RtlT8QfKuPj7HNsqZym+/IGCQNUFfLnrXIovDd1R2UNxB2lWxdMpCCBQXQHa\no+ruG2qGAAIItCyQ6neQvKFPK9so8yv+naN88dF4N1r+PhJ3Acvr8LhqAm9lFVpXw6eycR+Z\nPl/xWVEKAghUV4D2qLr7hpohgAACLQuk3EEKG/t8GBlgOH6A6UxGoEoCPuvpH5p0p2ic4rNG\n6ykuvrsdBQEEqi9Ae1T9fUQNEUAAgUEF6tBBGnQjmQGBBASeVR2HKXMrm2T1dcfIHaVHs8cM\nEEAAAQQQQAABBEoWSPk7SCXTsHgEuirwM61tIeXPynuVVZWHFHeaDlIoCCCAAAIIIIAAAl0Q\n4AxSF5BZBQIFBH6seTZXfHOR7bL5/b0k36XxL9ljBggggAACCCCAAAIlC3AGqWRgFo9AQYEx\nmm8jxZ2il5Rwy+/Pa9xnligIIIAAAggggAACXRCgg9QFZFaBQAGBn2ge39LbHaJ5sxyu4XzK\n/goFAQQQQACBbgrMo5V9RFlfiX/MXA8pCNRbgA5SvfcvW5eOwJqq6i3KH7Iq+9be31d8++BN\ns2kMEEAAAQQQ6IbAt7QS3zzoKuU6xTcN2kahINAXAnSQ+mI3s5EJCLhD5Nt8x8VnlGZX3ogn\nMo4AAggggECJAv4e7JGKv6f+jDJZcfv0f8p7FAoCtRegg1T7XcwGJiJwrerpu9cdpPjW3iOV\nkxVfYneeQkEAAQQQQKAbAj/PVjJeQ3eSpii3KjMrYxUKArUXoINU+13MBiYisK/q+ariy+p8\nkwYftfus8pji7ydREEAAAQQQ6IbAIlqJr2p4Xfmi8k3Fv9HnmwitoVAQqL2AjwxQEECg9wJu\njML/RzdCjo/WuVF6TaEggAACCCDQDQG3PS4fVdxJcrlKeUThwLo1KLUX4A+99ruYDUxE4FTV\n043S15SLlXMUH7WbX/mpQkEAAQQQQKAbAi9rJf586B8u/4yyozJOcXEniYJA7QXCEevabygb\niEDFBXzZgq/z9rXf0xQ3Tv6irC+7+6hCQQABBBBAoBsCN2klGytuezbJVuirGnzDoCuyxwwQ\nqLWAP4RREECg9wL+jQn/5sQRynDFl9adr/jOQb5pAwUBBBBAAIFuCFytlfiKBn8f1pd/+6Cd\nzyr5oLrPKlEQqL0AHaTa72I2MBGBcM33YqrvlcoFihslCgIIIIAAAt0UGKOV+YoGH7R7XnlF\n8UE7X9HwQYWCQO0FuMSu9ruYDUxEwF+E9VmkXXP19dE7N1QUBBBAAAEEuiGwjlbiA3QfUXz5\nt28U5O8e/UnZUKEgUHsBOki138VsYCICU1VPH627VplXcYfJl9etpjyrUBBAAAEEEOiGwDCt\n5Enlmixepw/g+QyS2ykKArUXoINU+13MBiYiEC53/ZDq6yN3/kLs7Fnd/Z0kCgIIIIAAAt0Q\n8NmitZRjlR8rPlh3pOI26S6FgkDtBcKHstpvKBuIQMUFfLDCnSL/n/SROsffS/Ildm6cKAgg\ngAACCHRD4AytxDdl+LjygHK3spLi9sk/QUFBoPYCdJBqv4vZwIQE3CHytd8LKPMp+yj+P8rN\nGoRAQQABBBDoisAvtJZbFbdFHt6mjFJOVS5SKAjUXoBL7Gq/i9nARATcEfIZJH8HyUfofMeg\nrRRP4/+pECgIIIAAAl0R8Hdib1d8QwZ3jNw+zarcrFAQ6AsBPnj1xW5mIxMQcIPk6759xO6z\nijtGE5UFFe5iJwQKAggggEBXBNwG7aEcqKysuA16SvGZpRuUvysUBGotQAep1ruXjUtI4ErV\n9dNZfd05cnnPjMH0H4/NRhkggAACCCBQqsBOWvozymGK2yNf/u0ySXHniQ6SNSi1FuA7SLXe\nvWxcQgIPRnV9Q+Px9478BVkKAggggAAC3RDwD8Uupvgudr5J0AjlCsXT/BwFgdoL0EGq/S5m\nAxMR+GpWz99pOEG5Uzk1mzY2GzJAAAEEEECgbIH5tYLXlG9mw8kafk5xWX7GgH8RqLcAl9jV\ne/+ydekI+If5nld2zVV5Rz1eJDeNhwgggAACCJQlEC7zvkYr8PeOfBbpO4o7Tb7CgYJA7QXo\nINV+F7OBiQj4947mU9wZWl9xQ3Sv4jsH+fcoKAgggAACCHRD4AGtZLTyknK84k6RO0u+o51v\n+U1BoPYCdeggDdde8jWxiyuLKj7y8ZxyhzIxe6wBBYFKC9yo2q2n+Euw7iz5S7GOywkzBvyL\nAAIVF6A9qvgOonqFBPbQXNcpH1V8d1Vf4eAfjfV3Y/dWKAjUXiDlDpLrfqjyJWXkAHvqJk3f\nXfH3OSgIVFng56qcO0gus8wYvP0vHaS3KRhBoJICtEeV3C1Uqk2BlfQ6X8UwVVkmW4bvaufP\nWisovuU3BYFaC+Q/iKW0sWNV2b2UE5WNlJUVX560tOIzStsr/k98i7KuQkGgygIHqXKvKz4D\n6qN0Povkyxr8+AiFggAC1RWgParuvqFmrQv485MvqZtdcVvkdsjFn6f8HAUBBCoqMEL18ofI\nzQrU70zNc0yB+YYyi99ADhnKAnht3wv4e0b+O9oxk/DBi+9l0+7PpjFAoB2B/fQin02nlCNA\ne1SOK0vtnYCvunF75DNINyjuGPkzl3O6QkGgXYFk2qNUzyD5i4I+onFlgT10uebZsMB8zIJA\nLwX8faNXlNHK1colir8g60Yq5UthVX0KArUWoD2q9e7ty41bONtqtz2+pG55xZ0jt1PLKBQE\nai+QagfJN2B4WtlmkD3k/9w+HTxhkPl4GoFeCzyrCsylfFe5X/GNRo5S/H+Uv18hUBCoqADt\nUUV3DNVqW2Ce7JXuEC2k+CxpOFDnH4ulIFB7gfAHn9qG+qj6ccppyk7KBcokxV8inEPxFwn9\nJcOdldHKegoFgSoLPKbKLa4MU3ZVwjXfGp3pYf9DQQCBSgrQHlVyt1CpIQj4c1QoU7ORMM0/\nR0FBoPYCqXaQvGN+oIxX/CNmjc4k+QvuZymfV3yEj4JAlQX8f9FH6/LFHaVUz/Tmt4XHCNRV\ngPaornu2P7crbnNCxyhI+CAeBYHaC6TcQfLO8fc0VlSWVpZVfGRjsuKj8c6rCgWBFASWjyoZ\nnz1yp2nt6DlGEUCgmgK0R9XcL9SqdYFwsC4+QBfapdQ/N7auwSv6UiDlP3Qf4fClDS6PZPF3\nOD6lbK48objBmqhQEKi6wLxNKjiqyXM8hQACvRegPer9PqAGnRd4UoucVfFnLX9e9NcXKAj0\nhUCqHSR/mHxR2UE5I9tT/s7Rn5X4w6QvsztIOUKhIFBlgXDEzncKOk/x3/h/ZRUeng0ZIIBA\n9QRoj6q3T6jR0ATcDvnz4aKKzxzFZ5J8d1UKArUXiK8zTX1jf68N8Bmkryn+svuHld8ohytb\nKxQEUhDwd+qeV/6lnJZVOHSesocMEECg4gK0RxXfQVSvqYC/qhCK25/4s+LD4QmGCNRZINUz\nSPl9spgmrKMcoPw8e9J3tbteWV3xne7OV1otm+oFyxR8kX9xmoJAuwK+hMGN0NeV1xQ3SuFv\niu/SCYOCQCICtEeJ7CiqOaCAO0gLKFOUcAZpDo37M+NjCgWB2gvUpYPk/8D+gHlOgz3mS/C+\n2GB6kUlf0UyrFZlR88xfcD5mQ6CRwOOauGT2hBuiuPw1fsA4AghUWoD2qNK7h8oVEJhb87yu\n5C/v9tcWQjtVYDHMgkC6Aql3kEaJ3v+RfUOG65Q1lHuUuGymB76JQzul6KV57pw91c4KeA0C\nmcA4DXdWfO23vxTrEs4qnTvjIf8igECFBWiPKrxzqFpLAr56wZ8Pt1SWU3wmye3SWCX1z43a\nBAoCgwvE15UOPnd15vAROh/d8M0XfLOGuxR/78jf3/CXCl3WVi5VtlBOUigIVFlgWVXOf68+\nQufL6xx/GdYd/zEKBQEEqilAe1TN/UKt2hfwZd0+WPczxQehl1IOV3zQjps0CIFSf4FUjwT4\nP+g8yqrKmspa2dCdo3BKeBuNb6IcpJylUBBoV2CYXvgdZc52F1Dgde4g+TI7N0juEPlv/D5l\nW8UN1JFKWcXf1zumrIWzXARqLkB7VPMd3Ieb96i2eUFlqrK74s7SC4o/d01QKAjUXiDVDpJ3\njL/IfmuWcIbIR919NM/Fp4J/ojznBxQEhiDgDpI74qHzPYRFDfhSH7F7n+IGaRXlZcVH7VZQ\n/q6UeRYpnHXVaigIINCGAO1RG2i8pLIC56pmoxRfVrdyVstbNFxG+VP2mAECtRZIuYPUaMeE\nzpGfe6TRDExDoA0BX8b5yTZe18pLfGOGi5UPKD5S546SLxM9UfmyQkEAgbQEaI/S2l+p1Hak\nKvoXpcwrGnyw2VcurKj44J3/ltdSXlGOyqJBKeUxLXXDUpbMQhFoQaBuHaQWNp1ZEaiUgI9A\nb67srBym+Dt2n1IuUCgIIIAAAghY4HnlSKXMKxq8Ht+oYWPF7ZJv0nCG4juqxh1/Pex4ebLj\nS2SBCLQhQAepDTRegkBJAm9ouScr7hj9U6FzJAQKAggggMDbAr5Rwh/eflTuyPFa/IWK26P9\nyl0VS0egWgKpdpD8RUF/N6No8RGXh4rOzHwIIIAAAggUFKA9KgjFbAgggEAqAql2kPx7R9e3\ngOy72G3fwvzMigACCCCAQBEB2qMiSsyDAAIIJCSQagfJ18Hupvj07zWKvzTYrExq9iTPIVAx\nAV/j7csoKAggUH0B2qPq7yNqiAACCLQkkGoHyRt5kuI7rfguX4cr4xQKAnUQOFAb4ctCKQgg\nkIYA7VEa+4laIoAAAoUEZik0V3Vn+q2qdoXiO7pQEKiLwO3aEL4zV5e9yXb0iwDtUb/s6f7a\nTh+s44Bdf+1ztlYCKZ9BCjvQ3y0alW2L7wJGQQABBBBAoBcCtEe9UGedZQp8QQvnku8yhVl2\nJQXq0EHykY1bK6lLpRBAAAEE+kmA9qif9nZ/bOu0/thMthKBdwqkfondO7eGRwgggAACCCCA\nAAIIIIDAEAToIA0Bj5ciUJLAglru3CUtm8UigAACCCCAAAIINBGgg9QEh6cQ6JHAWK13/x6t\nm9UigAACCCCAAAJ9LUAHqa93PxtfUYFhqpdDQQABBBBAoJcCm2nl7+tlBVg3Ar0QoIPUC3XW\niQACCCCAAAIIVF/gK6rijtWvJjVEoLMCdJA668nSEEAAAQQQQAABBBBAIGEBOkgJ7zyqjgAC\nCCCAAAIIIIAAAp0VoIPUWU+WhgACCCCAAAIIIIAAAgkL0EFKeOdRdQQQQAABBBBAAAEEEOis\nwGydXRxLQwCBDghcrGU83IHlsAgEEEAAAQQQQACBFgXoILUIxuwIdEHguC6sg1UggAACCCAw\nmMBbmsGhINBXAnSQ+mp3s7EIIIAAAggggEBhge9pzucLz82MCNREgA5STXYkm4EAAggggAAC\nCHRY4LYOL4/FIZCEADdpSGI3UUkEEEAAAQQQQAABBBDohgAdpG4osw4EEEAAAQQQQAABBBBI\nQoAOUhK7iUr2mcBh2t5d+2yb2VwEEEAAAQQQQKASAnwHqRK7gUog8A6BNfVo2Dum8AABBBBA\nAIHuC4zUKqcor3R/1awRgd4JcAapd/asGQEEEEAAAQQQqLLACarcd6tcQeqGQBkCdJDKUGWZ\nCCCAAAIIIIBA+gK+moErGtLfj2xBiwJ0kFoEY3YEEEAAAQQQQAABBBCorwAdpPruW7YMAQQQ\nQAABBBBAAAEEWhSgg9QiGLMjgAACCCCAAAIIIIBAfQXoINV337Jl6Qo8p6o7FAQQQAABBBBA\nAIEuC3Cb7y6DszoECgh8QfO8WWA+ZkEAAQQQQAABBBDosAAdpA6DsjgEOiBA56gDiCwCAQQQ\nQGDIAn/WEh4e8lJYAAKJCdBBSmyHUV0EEEAAAQQQQKBLAr/s0npYDQKVEuA7SJXaHVQGAQQQ\nQAABBBBAAAEEeilQhzNIwwU4RllcWVR5S/EX3O9QJmaPNaAggAACCCBQqgDtUam8LBwBBBDo\njkDKHSTX/VDlS8rIAbhu0vTdlTsHeJ7JCFRRYHNV6inllipWjjohgMC7BGiP3kXCBAQQQCBd\ngZQvsRsr9r2UE5WNlJWVRZSlFZ9R2l4JHzLX1TgFgVQE9lZFd0ilstQTAQRmoj3ijwABBBCo\nkUCqZ5BGaB/4VshbKJc22B+PapovsTtLOVPZUblRoSCAAAIIINBJAdqjTmqyrKoJ+Eqd+5ST\nq1Yx6oNAmQKpnkEaJRR/1+jKAjiXa54NC8zHLAgggAACCLQqQHvUqhjzpySwliq7akoVpq4I\ndEIg1Q6Szw49rWwzCILPkPlSuwmDzMfTCCCAAAIItCNAe9SOGq9BAAEEKiyQ6iV2/iHN45TT\nlJ2UC5RJyjPKHMpIZSVlZ2W0sp5CQQABBBBAoNMCtEedFmV5CCCAQI8FUu0gme0HynjlF0qj\nM0lvaLq/g/R5xUf4KAgggAACCJQhQHtUhirLRAABBHokkHIHyWSXKCsqvnPdssp8ymTlsSyv\nakhBIDUBf7/OR6UpCCCQjgDtUTr7ipoigAACTQVS7yB54/zDfEsoCynhh2IX07i3jR+KFQIl\nOYEDVePnk6s1FUYAAdoj/gYQQACBGgik3EFy3fmh2Br8EbIJ7xK4/V1TmIAAAlUWoD2q8t6h\nbkMR8ME6DtgNRZDXJimQcgfJP8y3nXK8cpHyhPKsMkwJN2nYReO3KBso/A6SECgIIIAAAh0X\noD3qOCkLrIiAf3OSS74rsjOoRvcEUu0gdeuH+fbRrhhdcHfMXXA+ZkMAAQQQqI8A7VF99iVb\n8m6Bae+exBQE6i+Qagep1R/m27PNXbmgXrdwwdemallw85gNAQQQQKCBAO1RAxQmIYAAAikL\npPqh3rftDj8Ue3aTHeDtG8oPxfrL8kWKTz+/UGRG5kGggIA75lOUlwvMyywIINBbAdqj3vqz\ndgQQQKDjAql2kNwh4YdiO/7nwAIrIuDvM/xTKdpBr0i1qQYCfSlAe9SXu52NRgCBOguk2kHy\nPuGH+er8l9nf2+YbjTgUBBBIQ4D2KI39RC1bF9hML3lK+XvrL+UVCKQrkHIHyer8MF+6f3vU\nHAEEEKiTAO1RnfYm2xIEvqIRX9FABymIMOwLgdQ7SGEnPaIRh4IAAggggEAvBWiPeqnPuhFA\nAIEOCMzSgWWwCAQQQAABBBBAAAEEEECgFgKpnkGaR/ortLAH/CvQD7UwP7MigAACCCBQRID2\nqIgS8yCAAAIJCaTaQVpDxte34HyW5vXtvikIIIAAAgh0UoD2qJOaLAsBBBCogECqHaS/ym43\n5XjlGuUopVmZ1OxJnkOgYgIXqz4PV6xOVAcBBBoL0B41dmEqAgggkKxAqh0kg5+kzKycqByu\njFMoCNRBwL/xRUEAgXQEaI/S2VfUtDWBtzS7Q0GgrwRSv0nDb7W3rlCO7Ku9xsYigAACCFRN\ngPaoanuE+nRC4HtaCAftOiHJMpISSPkMUoD2d4tGKd6WN8JEhggggAACCHRZgPaoy+CsrnSB\n20pfAytAoIICdegg+Q51t1bQliohgAACCPSXAO1Rf+1vthYBBGoqkPoldjXdLWwWAggggAAC\nCCCAAAII9EKADlIv1FknAs0FDtPTuzafhWcRQAABBBBAAAEEyhCowyV2ZbiwTAR6KbCmVj6s\nlxVg3QgggAACLQnU9fPUAlKYorzakkYaM/vufNPSqCq17LZAXf9Dd9uR9SGAAAIIIIBAfwoc\noc3+Tn9uevJb/QVtwe+T3wo2oOMCdJA6TsoCEUAAAQQQQKCPBBbWtl6m/KCG2+wzSFOVV2q4\nbb/RNnnfURB4lwAdpHeRMCERgW+onl9LpK6tVnMhvWAD5TOtvjCB+X1Jw1eV8xOoK1VEAAEE\nigo8qRmvLzoz81VC4KVK1IJKVFKADlIldwuVKiCwiuZ5RDm+wLypzbKkKuzrvZ9NreIF6usj\nrKMLzMcsCCCAAAIIIIBATwToIPWEnZV2SOB+LeeUDi2LxXRHoK5n/bqjx1oQQAABBBBAoHQB\nbvNdOjErQAABBBBAAAEEEEAAgVQE6CClsqeoJwIIIIAAAggggAACCJQuQAepdGJWgAACCCCA\nAAIIIIAAAqkI0EFKZU9RTwQQQAABBBBAAAEEEChdgA5S6cSsAAEEEEAAAQQQQAABBFIRoIOU\nyp6inggggAACCCCAAAIIIFC6AB2k0olZAQIIIIAAAggggAACCKQiQAcplT1FPRFAAAEEEEAA\nAQQQQKB0ATpIpROzAgQQQAABBBBAAAEEEEhFgA5SKnuKeiKAAAIIIIAAAggggEDpAnSQSidm\nBQgggAACCCCAAAIIIJCKAB2kVPYU9UQAAQQQQAABBBBAAIHSBegglU7MChBAAAEEEEBAAh9X\n/qzcp5ygfESJywg9+InyT+Uu5XhlEaVIGWzZRZbBPAgggMB0ATpI/CEggAACCCCAQNkCX9IK\nzlceUQ5WllKuUlZXQvmxRnZWzlB+qWygXK8sqDQrRZbd7PU8hwACCLxDYLZ3POIBAggggAAC\nCCDQWYHhWtwPlJMVd2ZcTlH+rnxP2V5ZWdlV+aJykuLyN8Xz+OzQyUqjUmTZjV7X6WmjtcBt\nlceyTNLwNYVSHYE5VZUllMWz4ULVqRo1qZoAHaSq7RHqgwACCCCAQL0EttPmLKx8M7dZm+jx\nm9m0ZzV0R+nC7LEHLyp+vtkZpCLL9rLKLNdo4espv1Hmz1b0lobPKI8rodPUaJyOVAY2hIE7\nPqHTE3eA8tPy++bfet3NQ1gvL62xAB2kGu9cNg0BBBBAAIEKCKyoOtyrTFW+qqyr+FI7f8fo\nQcXlSeWc6WMz/llBg58ok5XzZkxq+G+RZTd8YQcn/l7LclyafVj3docP8PkP6+5ENepAhWlx\nR+pQzZvvbGpSLcoXtRWnZlsSW+Y7O8HRw7xlMLPpjUq+gxpbZqtigMA7BeggvdODRwgggAAC\nCCDQWYEltbhpypXKcsp4ZV9lT+Wjyi1KXMbqgT8o+yzM5sp9ykCl1WUPtJxOTX9VC7o/S7Nl\n+sN//CE/7gB8UM+NUpaPFhDOSPnD/hzK8Oi5Oo3up43ZX4k7Pt4+//1MVB5W3AGi4yMESnkC\ndJDKs2XJCCCAAAIIIDDjErn3CsJnBjZUXlPcIbhT8c0Y3CGIy8l6cImyi3KusodyitKo+PK7\nVpbdaBndnObOjbc97hA1Gvd2hfK8RuKzIMvq8crhyZoN3QHyWUOfUXQnyZlHmVVZSRmp+M6G\nvmTTwzg2cudpkuIOFQWBtgXoILVNxwsRQAABBBBAoICAP+y6/Fxx58jFH2R9Sd3uis+m+MxL\nKH/NRvz835XvKgN1kFpddrbojg/c8VlMCR/qG3V6PM0dn5kVl9DxsYU/3N+qXJyNhw/7Hk5R\n4rKXHnh9dSy/0kbZIC7uIOVdg+9Gei6Mez4Xf2/NfxfBNbaMpz2heehICYHybgE6SO82qdMU\nX+98SIMNuk7TDoum+w5BfsN9j3KV8gflaqVZ8TW/BygfU3xEx9eXH63k39g0iYIAAggg0McC\nj2bbPiFn4HbDZXbFHYfRytVKXC7Qg+8rPmPwVPxENl5k2XHnq8EihjzJbeGhykAdn9v13J+V\n/Af1dut1nJbl9Et5SRs6MUuzbW7UkXLHyh0od6TCeOhIuXO0g3K2QkHgHQKzveMRD+om4DcE\n56LchsVHo76k545XTlROUz6ruJM0RrlTaVT8d3OJsqLio3qeb0fF6/HrT1coCCCAAAIIWOAK\nxR2ITRWfFQplG43cpbyo+DK6HyrrKTcooWypkReUp8OE3LDIsnMv6fhDf1/IbeLeis9QtNvx\n0UspQxAo2pGaV+twp8m/y7XsENbHSxFAYBABn85tdKZmkJeV/rQ7Ktc1WctwPedrdX+bm8eX\nNJyZmxY//IQevKV8PproI2f/VO6OppU56g7dNcpHlZWUcERIo5SKCSyg+qym/Jdyv/INhdI9\ngf20qpu6tzrW1GOBqrZHl8rFnZzNlCWVwxTXdXfFZSnlGcWdow2U9yjHKG5r4ju2bafHZyie\nP5TBlh3mK2vo9sgHCylpCdys6tIedXefJdMe+UwApb4Ca2rTLmuyeW5oFlbixsezb6K44Rqo\nvKwnfqPERwLdiF2r7Kh0o4zXSjZXvH2zZiucrOG/B8hj2XR3CLnmWAgdKHNoGT4K5w87zhLR\neJjmob9f4PKa4v1zhx9QEECgrwQ+pa39tXKh4s8e/v7HtxW3JS6PKj5b5Mc++OXi93S3Tz/x\ng6ysquH2yg8Uv8ZlsGXPmIt/EUAAgYICdeggDde2+nIwf1BbVPEH9ecUfwibmD3WoO/KXNpi\nH4FzY3Sk4qN2jyg/VcY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KjPqFykeL13Zy8IdfPRshOyaR7cooR1La7xNT2xxeJ1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\nAgQIECBAgAABAgSWXuD/AboZzj0ghA19AAAAAElFTkSuQmCC",
      "text/plain": [
       "Plot with title “Lepto after”"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# dropping 2 controls and 3 lepto samples\n",
    "par(mfrow = c(2, 2))\n",
    "labeled_boxplot(paw_spc[CD], 200, \"Control before\")\n",
    "labeled_boxplot(paw_spc[LD], 200, \"Lepto before\")\n",
    "labeled_boxplot(paw_spc_tmm[CD], 200, \"Control after\")\n",
    "labeled_boxplot(paw_spc_tmm[LD], 200, \"Lepto after\")\n",
    "par(mfrow = c(1, 1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A data.frame: 16 × 3</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>group</th><th scope=col>lib.size</th><th scope=col>norm.factors</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;fct&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>Control-08</th><td>Control</td><td>10491.80</td><td>0.8984815</td></tr>\n",
       "\t<tr><th scope=row>Control-09</th><td>Control</td><td>10390.50</td><td>1.1414117</td></tr>\n",
       "\t<tr><th scope=row>Control-10</th><td>Control</td><td> 7801.75</td><td>0.9145459</td></tr>\n",
       "\t<tr><th scope=row>Control-11</th><td>Control</td><td> 8010.10</td><td>0.9431195</td></tr>\n",
       "\t<tr><th scope=row>Control-12</th><td>Control</td><td>10404.75</td><td>1.2761884</td></tr>\n",
       "\t<tr><th scope=row>Control-18</th><td>Control</td><td> 9872.75</td><td>1.2443434</td></tr>\n",
       "\t<tr><th scope=row>Control-19</th><td>Control</td><td>10653.40</td><td>1.0171370</td></tr>\n",
       "\t<tr><th scope=row>Control-20</th><td>Control</td><td>11346.25</td><td>1.0343960</td></tr>\n",
       "\t<tr><th scope=row>Lepto-01</th><td>lepto  </td><td>13306.40</td><td>1.0800362</td></tr>\n",
       "\t<tr><th scope=row>Lepto-03</th><td>lepto  </td><td>15064.30</td><td>1.2022557</td></tr>\n",
       "\t<tr><th scope=row>Lepto-04</th><td>lepto  </td><td>12604.05</td><td>1.1326725</td></tr>\n",
       "\t<tr><th scope=row>Lepto-05</th><td>lepto  </td><td>13935.80</td><td>0.9681685</td></tr>\n",
       "\t<tr><th scope=row>Lepto-13</th><td>lepto  </td><td>13770.80</td><td>0.9027288</td></tr>\n",
       "\t<tr><th scope=row>Lepto-14</th><td>lepto  </td><td>13876.45</td><td>1.0429745</td></tr>\n",
       "\t<tr><th scope=row>Lepto-15</th><td>lepto  </td><td>10428.25</td><td>0.7260486</td></tr>\n",
       "\t<tr><th scope=row>Lepto-17</th><td>lepto  </td><td>10791.20</td><td>0.6951330</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 16 × 3\n",
       "\\begin{tabular}{r|lll}\n",
       "  & group & lib.size & norm.factors\\\\\n",
       "  & <fct> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\tControl-08 & Control & 10491.80 & 0.8984815\\\\\n",
       "\tControl-09 & Control & 10390.50 & 1.1414117\\\\\n",
       "\tControl-10 & Control &  7801.75 & 0.9145459\\\\\n",
       "\tControl-11 & Control &  8010.10 & 0.9431195\\\\\n",
       "\tControl-12 & Control & 10404.75 & 1.2761884\\\\\n",
       "\tControl-18 & Control &  9872.75 & 1.2443434\\\\\n",
       "\tControl-19 & Control & 10653.40 & 1.0171370\\\\\n",
       "\tControl-20 & Control & 11346.25 & 1.0343960\\\\\n",
       "\tLepto-01 & lepto   & 13306.40 & 1.0800362\\\\\n",
       "\tLepto-03 & lepto   & 15064.30 & 1.2022557\\\\\n",
       "\tLepto-04 & lepto   & 12604.05 & 1.1326725\\\\\n",
       "\tLepto-05 & lepto   & 13935.80 & 0.9681685\\\\\n",
       "\tLepto-13 & lepto   & 13770.80 & 0.9027288\\\\\n",
       "\tLepto-14 & lepto   & 13876.45 & 1.0429745\\\\\n",
       "\tLepto-15 & lepto   & 10428.25 & 0.7260486\\\\\n",
       "\tLepto-17 & lepto   & 10791.20 & 0.6951330\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 16 × 3\n",
       "\n",
       "| <!--/--> | group &lt;fct&gt; | lib.size &lt;dbl&gt; | norm.factors &lt;dbl&gt; |\n",
       "|---|---|---|---|\n",
       "| Control-08 | Control | 10491.80 | 0.8984815 |\n",
       "| Control-09 | Control | 10390.50 | 1.1414117 |\n",
       "| Control-10 | Control |  7801.75 | 0.9145459 |\n",
       "| Control-11 | Control |  8010.10 | 0.9431195 |\n",
       "| Control-12 | Control | 10404.75 | 1.2761884 |\n",
       "| Control-18 | Control |  9872.75 | 1.2443434 |\n",
       "| Control-19 | Control | 10653.40 | 1.0171370 |\n",
       "| Control-20 | Control | 11346.25 | 1.0343960 |\n",
       "| Lepto-01 | lepto   | 13306.40 | 1.0800362 |\n",
       "| Lepto-03 | lepto   | 15064.30 | 1.2022557 |\n",
       "| Lepto-04 | lepto   | 12604.05 | 1.1326725 |\n",
       "| Lepto-05 | lepto   | 13935.80 | 0.9681685 |\n",
       "| Lepto-13 | lepto   | 13770.80 | 0.9027288 |\n",
       "| Lepto-14 | lepto   | 13876.45 | 1.0429745 |\n",
       "| Lepto-15 | lepto   | 10428.25 | 0.7260486 |\n",
       "| Lepto-17 | lepto   | 10791.20 | 0.6951330 |\n",
       "\n"
      ],
      "text/plain": [
       "           group   lib.size norm.factors\n",
       "Control-08 Control 10491.80 0.8984815   \n",
       "Control-09 Control 10390.50 1.1414117   \n",
       "Control-10 Control  7801.75 0.9145459   \n",
       "Control-11 Control  8010.10 0.9431195   \n",
       "Control-12 Control 10404.75 1.2761884   \n",
       "Control-18 Control  9872.75 1.2443434   \n",
       "Control-19 Control 10653.40 1.0171370   \n",
       "Control-20 Control 11346.25 1.0343960   \n",
       "Lepto-01   lepto   13306.40 1.0800362   \n",
       "Lepto-03   lepto   15064.30 1.2022557   \n",
       "Lepto-04   lepto   12604.05 1.1326725   \n",
       "Lepto-05   lepto   13935.80 0.9681685   \n",
       "Lepto-13   lepto   13770.80 0.9027288   \n",
       "Lepto-14   lepto   13876.45 1.0429745   \n",
       "Lepto-15   lepto   10428.25 0.7260486   \n",
       "Lepto-17   lepto   10791.20 0.6951330   "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overall Factors (lib.size+TMM):\n",
      " Control-08 -> 1.211643\n",
      " Control-09 -> 0.963064\n",
      " Control-10 -> 1.600798\n",
      " Control-11 -> 1.511922\n",
      " Control-12 -> 0.860176\n",
      " Control-18 -> 0.929727\n",
      " Control-19 -> 1.054062\n",
      " Control-20 -> 0.973184\n",
      " Lepto-01 -> 0.794758\n",
      " Lepto-03 -> 0.630650\n",
      " Lepto-04 -> 0.800054\n",
      " Lepto-05 -> 0.846547\n",
      " Lepto-13 -> 0.918793\n",
      " Lepto-14 -> 0.789191\n",
      " Lepto-15 -> 1.508540\n",
      " Lepto-17 -> 1.522637\n"
     ]
    },
    {
     "data": {
      "image/png": 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ua/104SZ0pOJp8q+Q7dM6TMzPDX2Ye0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\nHw/7OwAAAABJRU5ErkJggg==",
      "text/plain": [
       "Plot with title “TMM Normalized data”"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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qFnsrT0e9KHpWZEXij9iLRSz5GKDkvM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\nQACBthe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0csYh8fyjLXz1nuoWl7bLJvclNyZfLe5LZk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",
      "text/plain": [
       "Plot with title “ControlD vs LeptoD”"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# load the data into edgeR data structures\n",
    "# group labels need to be factors\n",
    "countsd <- paw_spc[c(C, LD)]\n",
    "colord <- c(rep('blue', 8), rep('red', 8))\n",
    "groupd <- c(rep(\"Control\", 8), rep(\"lepto\", 8))\n",
    "yd <- DGEList(counts = countsd, group = groupd, genes = accession)\n",
    "\n",
    "# run the TMM normalization (and library size corrections)\n",
    "yd <- calcNormFactors(yd)\n",
    "\n",
    "# check normalizations\n",
    "yd$samples\n",
    "\n",
    "# get normalized data and make boxplots\n",
    "paw_spc_tmm <- apply_tmm_factors(yd, colord)\n",
    "\n",
    "# check clustering\n",
    "plotMDS(yd, col = colord, main = \"ControlD vs LeptoD\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data after excluding some sample looks reasonable\n",
    "\n",
    "The long, bottom tails on the box plots for two controls and 3 lepto samples were pretty different from the other samples. Excluding those samples had some pretty reasonable improvements in CVs also.\n",
    "\n",
    "The clustering did not really indicate that the two control samples with low tails were that atypical. Dropping those only reduced the median CVs by about 5% for the controls. Those samples do not have large TMM adjustment factors. It might be safer to keep all 8 controls. The three lepto samples are pretty clear outliers. Removing them changes the median CVs by 20% before TMM and still 14% after TMM. We will do the statistical analysis on 8 controls and 8 lepto samples in a separate notebook.\n",
    "\n",
    "## Log the session"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "R version 3.5.3 (2019-03-11)\n",
       "Platform: x86_64-apple-darwin15.6.0 (64-bit)\n",
       "Running under: macOS Mojave 10.14.5\n",
       "\n",
       "Matrix products: default\n",
       "BLAS: /Library/Frameworks/R.framework/Versions/3.5/Resources/lib/libRblas.0.dylib\n",
       "LAPACK: /Library/Frameworks/R.framework/Versions/3.5/Resources/lib/libRlapack.dylib\n",
       "\n",
       "locale:\n",
       "[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8\n",
       "\n",
       "attached base packages:\n",
       "[1] stats     graphics  grDevices utils     datasets  methods   base     \n",
       "\n",
       "other attached packages:\n",
       " [1] scales_1.0.0    gridExtra_2.3   psych_1.8.12    edgeR_3.24.3   \n",
       " [5] limma_3.38.3    forcats_0.4.0   stringr_1.4.0   dplyr_0.8.1    \n",
       " [9] purrr_0.3.2     readr_1.3.1     tidyr_0.8.3     tibble_2.1.1   \n",
       "[13] ggplot2_3.1.1   tidyverse_1.2.1\n",
       "\n",
       "loaded via a namespace (and not attached):\n",
       " [1] pbdZMQ_0.3-3     tidyselect_0.2.5 locfit_1.5-9.1   repr_1.0.1      \n",
       " [5] haven_2.1.0      lattice_0.20-38  vctrs_0.1.0      colorspace_1.4-1\n",
       " [9] generics_0.0.2   htmltools_0.3.6  base64enc_0.1-3  rlang_0.3.4     \n",
       "[13] pillar_1.4.0     foreign_0.8-71   glue_1.3.1       withr_2.1.2     \n",
       "[17] modelr_0.1.4     readxl_1.3.1     uuid_0.1-2       plyr_1.8.4      \n",
       "[21] munsell_0.5.0    gtable_0.3.0     cellranger_1.1.0 rvest_0.3.4     \n",
       "[25] evaluate_0.13    parallel_3.5.3   broom_0.5.2      IRdisplay_0.7.0 \n",
       "[29] Rcpp_1.0.1       backports_1.1.4  IRkernel_1.0.1   jsonlite_1.6    \n",
       "[33] mnormt_1.5-5     hms_0.4.2        digest_0.6.19    stringi_1.4.3   \n",
       "[37] grid_3.5.3       cli_1.1.0        tools_3.5.3      magrittr_1.5    \n",
       "[41] lazyeval_0.2.2   zeallot_0.1.0    crayon_1.3.4     pkgconfig_2.0.2 \n",
       "[45] xml2_1.2.0       lubridate_1.7.4  assertthat_0.2.1 httr_1.4.0      \n",
       "[49] rstudioapi_0.10  R6_2.4.0         nlme_3.1-140     compiler_3.5.3  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# log the session\n",
    "sessionInfo()"
   ]
  },
  {
   "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": "3.5.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}