Mercurial > repos > proteomisc > preprocess_dataset
changeset 24:adbd4545d00d draft
Uploaded
author | proteomisc |
---|---|
date | Mon, 04 Dec 2023 10:56:24 +0000 |
parents | c0cc4bdf07af |
children | 66aaf716040c |
files | preprocess_datasets/Affymetrix_Preprocessing.R |
diffstat | 1 files changed, 8 insertions(+), 11 deletions(-) [+] |
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--- a/preprocess_datasets/Affymetrix_Preprocessing.R Mon Dec 04 10:04:13 2023 +0000 +++ b/preprocess_datasets/Affymetrix_Preprocessing.R Mon Dec 04 10:56:24 2023 +0000 @@ -55,21 +55,15 @@ rownames(Prepro_object$data.norm@phenoData@data)<-listfullnames rownames(Prepro_object$data.norm@protocolData@data)<-listfullnames } -par(las=2,mar=c(15,2,1,1)) + png(filename ="boxplot_before_NM.png",width = w, height = h, units = "px", pointsize = 14, bg = "white") -par(las=2,mar=c(15,2,1,1)) boxplot((na.omit(as.data.frame(exprs(Prepro_object$data.bg)))), main="Boxplot of intensities before Normalization",col="red",las=2,mar=c(15,2,1,1)) - dev.off() - +png(filename ="boxplot_after_NM.png",width = w, height = h, units = "px", pointsize = 14, bg = "white") +boxplot((na.omit(as.data.frame(exprs(Prepro_object$data.sm)))), main="Boxplot of intensities After Normalization",col="red",ylab="(intensities)",las=2,mar=c(15,2,1,1)) +dev.off() -par(las=2,mar=c(15,2,1,1)) -png(filename ="boxplot_after_NM.png",width = w, height = h, units = "px", pointsize = 14, bg = "white") -par(las=2,mar=c(15,2,1,1)) -boxplot((na.omit(as.data.frame(exprs(Prepro_object$data.sm)))), main="Boxplot of intensities After Normalization",col="red",ylab="(intensities)",las=2,mar=c(15,2,1,1)) - -dev.off() png(filename ="MA_plot.png",width = w, height = h) MAplot((Prepro_object$data.norm) , show.statistics = F, span = 2/3, family.loess = "gaussian", @@ -77,6 +71,7 @@ azdd.loess = TRUE, lwd = 1, lty = 1, loess.col = "red") dev.off() + png(filename = "densities_plot_before_NM.png",width = w, height = h) plotDensities(exprs(Prepro_object$data.bg),log=T) dev.off() @@ -84,9 +79,11 @@ png(filename = "densities_plot_after_NM.png",width = w, height = h) plotDensities(exprs(Prepro_object$data.norm),log=T) dev.off() + AffymetrixRmd=file_path("Affymetrix.Rmd") Style=file_path("look.css") -suppressWarnings(suppressMessages(knit2html(AffymetrixRmd,output="PreprocessingPlots.html",quiet = T))) +suppressWarnings(suppressMessages(markdownToHTML(OneColorRmd,output="PreprocessingPlots.html",quiet = T, stylesheet=Style))) +#suppressWarnings(suppressMessages(knit2html(AffymetrixRmd,output="PreprocessingPlots.html",quiet = T))) rm(listArguments) save.image("MicroArray.Preprocessing.RData") sink()