pcaAnalysis: Principle Componenet Analysis
In alexjgriffith/mulcal: To facilitate the analysis of multiple ChIP-Seq data sets
Description
Principle Componenet Analysis
Usage
1
pcaAnalysis(heightFile, catFile, normMethod = "colQn")
Examples
1
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peakFile <- "sorted_peaks.bed"
catFile <- "catagories"
pcs<-pcaAnalysis(peakFile,catFile)
pc1=3
pc2=6
plotPCs(pcs,cbind(pc1,pc2),normData,cats,c( paste("PC:",as.character(pc1),sep="" ),paste("PC:",as.character(pc2),sep="" ),mock[i]))
alexjgriffith/mulcal documentation built on May 10, 2019, 8:53 a.m.
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Description
Principle Componenet Analysis
Usage
1 | pcaAnalysis(heightFile, catFile, normMethod = "colQn")
|
Examples
1 2 3 4 5 6 | peakFile <- "sorted_peaks.bed"
catFile <- "catagories"
pcs<-pcaAnalysis(peakFile,catFile)
pc1=3
pc2=6
plotPCs(pcs,cbind(pc1,pc2),normData,cats,c( paste("PC:",as.character(pc1),sep="" ),paste("PC:",as.character(pc2),sep="" ),mock[i]))
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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