plotGeneExprPerSample: Plot distribution of gene expression per sample

View source: R/data_geNormalisationFiltering.R

plotGeneExprPerSampleR Documentation

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.