plotGeneExprPerSample: Plot distribution of gene expression per sample

In nuno-agostinho/psichomics: Graphical Interface for Alternative Splicing Quantification, Analysis and Visualisation

Plot distribution of gene expression per sample

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)

nuno-agostinho/psichomics documentation built on Feb. 11, 2024, 11:16 p.m.