plotGeneExprPerSample {psichomics} | R 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)

[Package psichomics version 1.16.0 Index]