plotGeneExprPerSample: Plot distribution of gene expression per sample

In psichomics: Graphical Interface for Alternative Splicing Quantification, Analysis and Visualisation

Description

Plot distribution of gene expression per sample

Usage

plotGeneExprPerSample(geneExpr, ...)

Arguments

geneExpr	Data frame or matrix: gene expression
...	Arguments passed on to renderBoxplot data Data frame or matrix outliers Boolean: draw outliers? sortByMedian Boolean: sort box plots based on ascending median? showXlabels Boolean: show labels in X axis?

Value

Gene expression distribution plots

See Also

Other functions for gene expression pre-processing: convertGeneIdentifiers(), filterGeneExpr(), normaliseGeneExpression(), plotLibrarySize(), plotRowStats()

Examples

df <- data.frame(geneA=c(2, 4, 5),
                 geneB=c(20, 3, 5),
                 geneC=c(5, 10, 21))
colnames(df) <- paste("Sample", 1:3)
plotGeneExprPerSample(df)

psichomics documentation built on Nov. 8, 2020, 5:44 p.m.