Mercurial > repos > pmac > robustzscorenormalization

comparison robustZScoreNormalization.pl @ 0:7ecbc3ec2f55 draft default tip

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author pmac
date Wed, 01 Jun 2016 03:59:51 -0400
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-1:000000000000 0:7ecbc3ec2f55
1 ###############################################################################
2 # In summary this script calculates the robust z score for one or more plates
3 # of data.
4 #
5 # Args:
6 # input.data.frame contains one or more columns of plate data. The first column
7 # must contain the well annotation ie A01, A02 etc. Each subsequent column represents
8 # a plate of data where the column name is the plate name.
9 #
10 # plate.conf.data.frame is a file of the following format:
11 # well, type (syntax must be either "poscontr" or "negcontr" or "empty"), name (name of control)
12 #
13 # Returns:
14 # robust z score normalized values per plate.
15 #
16 # Author: kate gould
17 ###############################################################################
18
19 use strict;
20 use warnings;
21 use IO::Handle;
22 use File::Temp qw/ tempfile tempdir /;
23 my $tdir = tempdir( CLEANUP => 0 );
24
25 # check to make sure having correct input and output files
26 my $usage = "usage: robustZScoreNormalization.pl [TABULAR.in] [TABULAR.in] [TABULAR.out] \n";
27 die $usage unless @ARGV == 3;
28
29 #get the input arguments
30 my $plateData = $ARGV[0];
31 my $plateConfig = $ARGV[1];
32 my $zNorm = $ARGV[2];
33
34 #open the input files
35 open (INPUT1, "<", $plateData) || die("Could not open file $plateData \n");
36 open (INPUT2, "<", $plateConfig) || die("Could not open file $plateConfig \n");
37 open (OUTPUT1, ">", $zNorm) || die("Could not open file $zNorm \n");
38
39 #variable to store the name of the R script file
40 my $r_script;
41
42 # R script to implement the calcualtion of q-values based on multiple simultaneous tests p-values
43 # construct an R script file and save it in a temp directory
44 chdir $tdir;
45 $r_script = "robustZScoreNormalization.r";
46
47 open(Rcmd,">", $r_script) or die "Cannot open $r_script \n\n";
48 print Rcmd "
49 #options(show.error.messages = FALSE);
50 header <- read.table(\"$plateData\", head=F, sep=\"\\t\", comment=\"\", nrows=1);
51 input.data.frame <- read.table(\"$plateData\", head=F, sep=\"\\t\", skip=1);
52 plate.conf.data.frame <- read.table(\"$plateConfig\", head=T, sep=\"\\t\", comment=\"\");
53
54 # assumed second column is type ie negcontr or poscontr and third column is name of control
55 excluded.wells <- unique(plate.conf.data.frame[,1])
56
57 robust.z.score.normalise <- function(x, y) return ((x-median(y))/mad(y))
58 robust.z.score.normalisation.data.frame <- data.frame(well=input.data.frame[,1], stringsAsFactors=FALSE)
59
60 for (i in 2:length(colnames(input.data.frame))){
61 replicate.sample.values <- input.data.frame[((!(input.data.frame[,1] %in% excluded.wells))&(!(is.na(input.data.frame[,i])))),][,i]
62 robust.z.score.normalisation.data.frame <- cbind(robust.z.score.normalisation.data.frame, round(sapply(input.data.frame[,i], FUN=robust.z.score.normalise, replicate.sample.values), 2))
63 }
64 names(robust.z.score.normalisation.data.frame) <- names(input.data.frame)
65 write.table(header, file=\"$zNorm\", quote=F, sep=\"\\t\", row.names=F, col.names=F);
66 write.table(robust.z.score.normalisation.data.frame, file=\"$zNorm\", quote=F, sep=\"\\t\", row.names=F, col.names=F, append=T);
67 #eof\n";
68
69 close Rcmd;
70
71 system("R --no-restore --no-save --no-readline < $r_script > $r_script.out");
72
73 #close the input and output files
74 close(OUTPUT1);
75 close(INPUT1);
76 close(INPUT2);