# HG changeset patch # User devteam # Date 1377005656 14400 # Node ID b617b4b3d9132fdb6fb1360696b3c1515dabb005 Uploaded diff -r 000000000000 -r b617b4b3d913 compute_q_values.pl --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/compute_q_values.pl Tue Aug 20 09:34:16 2013 -0400 @@ -0,0 +1,95 @@ +# A program to compute the q-values based on the p-values of multiple simultaneous tests. +# The q-valules are computed using a specific R package created by John Storey called "qvalue". +# The input is a TABULAR format file consisting of one column only that represents the p-values +# of multiple simultaneous tests, one line for every p-value. +# The first output is a TABULAR format file consisting of one column only that represents the q-values +# corresponding to p-values, one line for every q-value. +# the second output is a TABULAR format file consisting of three pages: the first page represents +# the p-values histogram, the second page represents the q-values histogram, and the third page represents +# the four Q-plots as introduced in the "qvalue" package manual. + +use strict; +use warnings; +use IO::Handle; +use File::Temp qw/ tempfile tempdir /; +my $tdir = tempdir( CLEANUP => 0 ); + +# check to make sure having correct input and output files +my $usage = "usage: compute_q_values.pl [TABULAR.in] [lambda] [pi0_method] [fdr_level] [robust] [TABULAR.out] [PDF.out] \n"; +die $usage unless @ARGV == 7; + +#get the input arguments +my $p_valuesInputFile = $ARGV[0]; +my $lambdaValue = $ARGV[1]; +my $pi0_method = $ARGV[2]; +my $fdr_level = $ARGV[3]; +my $robustValue = $ARGV[4]; +my $q_valuesOutputFile = $ARGV[5]; +my $p_q_values_histograms_QPlotsFile = $ARGV[6]; + +if($lambdaValue =~ /sequence/){ + $lambdaValue = "seq(0, 0.95, 0.05)"; +} + +#open the input files +open (INPUT, "<", $p_valuesInputFile) || die("Could not open file $p_valuesInputFile \n"); +open (OUTPUT1, ">", $q_valuesOutputFile) || die("Could not open file $q_valuesOutputFile \n"); +open (OUTPUT2, ">", $p_q_values_histograms_QPlotsFile) || die("Could not open file $p_q_values_histograms_QPlotsFile \n"); +#open (ERROR, ">", "error.txt") or die ("Could not open file error.txt \n"); + +#save all error messages into the error file $errorFile using the error file handle ERROR +#STDERR -> fdopen( \*ERROR, "w" ) or die ("Could not direct errors to the error file error.txt \n"); + +#warn "Hello Error File \n"; + +#variable to store the name of the R script file +my $r_script; + +# R script to implement the calcualtion of q-values based on multiple simultaneous tests p-values +# construct an R script file and save it in a temp directory +chdir $tdir; +$r_script = "q_values_computation.r"; + +open(Rcmd,">", $r_script) or die "Cannot open $r_script \n\n"; +print Rcmd " + #options(show.error.messages = FALSE); + + #load necessary packages + suppressPackageStartupMessages(library(tcltk)); + library(qvalue); + + #read the p-values of the multiple simultaneous tests from the input file $p_valuesInputFile + p <- scan(\"$p_valuesInputFile\", quiet = TRUE); + + #compute the q-values that correspond to the p-values of the multiple simultaneous tests + qobj <- qvalue(p, pi0.meth = \"$pi0_method\", lambda = $lambdaValue, fdr.level = $fdr_level, robust = $robustValue); + #qobj <- qvalue(p, pi0.meth = \"smoother\", lambda = seq(0, 0.95, 0.05), fdr.level = 0.05); + #qobj <- qvalue(p, pi0.meth = \"bootstrap\", fdr.level = 0.05); + + #draw the p-values histogram, the q-values histogram, and the four Q-plots + # and save them on multiple pages of the output file $p_q_values_histograms_QPlotsFile + pdf(file = \"$p_q_values_histograms_QPlotsFile\", width = 6.25, height = 6, family = \"Times\", pointsize = 12, onefile = TRUE) + hist(qobj\$pvalues); + #dev.off(); + + hist(qobj\$qvalues); + #dev.off(); + + qplot(qobj); + dev.off(); + + #save the q-values in the output file $q_valuesOutputFile + qobj\$pi0 <- signif(qobj\$pi0,digits=6) + qwrite(qobj, filename=\"$q_valuesOutputFile\"); + + #options(show.error.messages = TRUE); + #eof\n"; +close Rcmd; + +system("R --no-restore --no-save --no-readline < $r_script > $r_script.out"); + +#close the input and output and error files +#close(ERROR); +close(OUTPUT2); +close(OUTPUT1); +close(INPUT); diff -r 000000000000 -r b617b4b3d913 compute_q_values.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/compute_q_values.xml Tue Aug 20 09:34:16 2013 -0400 @@ -0,0 +1,155 @@ + + based on multiple simultaneous tests p-values + + + compute_q_values.pl $inputFile1 $inputLambda2 $inputPI0_method3 $inputFDR_level4 $inputRobust5 $outputFile1 $outputFile2 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +.. class:: infomark + +**What it does** + +This program computes the q-values based on the p-values of multiple simultaneous tests. The q-values are computed using a specific R package, created by John Storey and Alan Dabney, called "qvalue". The program takes five inputs: + +- The first input is a TABULAR format file consisting of one column only that represents the p-values of multiple simultaneous tests, one line for every p-value. +- The second input is the lambda parameter. The user can choose either the default: seq(0, 0.95, 0.05) or a decimal number between 0.0 and 1.0. +- The third input is PI method which is either "smoother" or "bootstrap". +- The fourth input is the FDR (false discovery rate) level which is a decimal number between 0.0 and 1.0. +- The fifth input is either TRUE or FALSE for the estimate robustness. + +The program gives two outputs: + +- The first output is a TABULAR format file consisting of three columns: + + - the left column represents the p-values of multiple simultaneous tests, one line for every p-value + - the middle column represents the q-values corresponding to the p-values + - the third column represent the significance values, either 1 for significant or 0 for non-significant + +- The second output is a PDF format file consisting of three pages: + + - the first page represents the p-values histogram + - the second page represents the q-values histogram + - the third page represents the four Q-plots as introduced in the "qvalue" package manual. + + +**Example** + +Let us have the first input file of p-values as follows:: + + 0.140627492 + 0.432249886 + 0.122120877 + 0.142010182 + 0.012909858 + 0.000142807 + 0.039841941 + 0.035173303 + 0.011340057 + 1.01E-05 + 0.212738282 + 0.091256284 + 0.547375415 + 0.189589833 + 6.18E-12 + 0.001235875 + 1.10E-05 + 9.75E-07 + 2.13E-18 + 2.54E-16 + 1.20E-19 + 9.76E-14 + 0.359181534 + 0.03661672 + 0.400459987 + 0.387436466 + 0.342075061 + 0.904129283 + 0.031152635 + +Running the program will give the following output:: + + pi0: 0.140311054 + + FDR level: 0.05 + + p-value q-value significant + 0.1406275 0.02889212 1 + 0.4322499 0.06514199 0 + 0.1221209 0.02760624 1 + 0.1420102 0.02889212 1 + 0.01290986 0.00437754 1 + 0.000142807 6.46E-05 1 + 0.03984194 0.01013235 1 + 0.0351733 0.009932946 1 + 0.01134006 0.004194811 1 + 1.01E-05 5.59E-06 1 + 0.2127383 0.03934711 1 + 0.09125628 0.02184257 1 + 0.5473754 0.07954578 0 + 0.1895898 0.03673547 1 + 6.18E-12 5.03E-12 1 + 0.001235875 0.00050288 1 + 1.10E-05 5.59E-06 1 + 9.75E-07 6.61E-07 1 + 2.13E-18 4.33E-18 1 + 2.54E-16 3.45E-16 1 + 1.20E-19 4.88E-19 1 + 9.76E-14 9.93E-14 1 + 0.3591815 0.06089654 0 + 0.03661672 0.009932946 1 + 0.40046 0.0626723 0 + 0.3874365 0.0626723 0 + 0.3420751 0.06051785 0 + 0.9041293 0.1268593 0 + 0.03115264 0.009750824 1 + + +.. image:: ${static_path}/operation_icons/p_hist.png + + +.. image:: ${static_path}/operation_icons/q_hist.png + + +.. image:: ${static_path}/operation_icons/Q_plots.png + + + + + diff -r 000000000000 -r b617b4b3d913 test-data/p_q_hists_Q_plots.pdf --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/p_q_hists_Q_plots.pdf Tue Aug 20 09:34:16 2013 -0400 @@ -0,0 +1,884 @@ +%PDF-1.4 +%ρ\r +1 0 obj +<< +/CreationDate (D:20110222115850) +/ModDate (D:20110222115850) +/Title (R Graphics Output) +/Producer (R 2.11.0) +/Creator (R) +>> +endobj +2 0 obj +<< +/Type /Catalog +/Pages 3 0 R +>> +endobj +5 0 obj +<< +/Type /Page +/Parent 3 0 R +/Contents 6 0 R 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