View source: R/data_geNormalisationFiltering.R
plotLibrarySize | R Documentation |
Plot library size
plotLibrarySize(
data,
log10 = TRUE,
title = "Library size distribution across samples",
subtitle = "Library size: total number of mapped reads",
colour = "orange"
)
data |
Data frame or matrix: gene expression |
log10 |
Boolean: log10-transform |
title |
Character: plot title |
subtitle |
Character: plot subtitle |
colour |
Character: data colour |
Library size distribution
Other functions for gene expression pre-processing:
convertGeneIdentifiers()
,
filterGeneExpr()
,
normaliseGeneExpression()
,
plotGeneExprPerSample()
,
plotRowStats()
df <- data.frame(geneA=c(2, 4, 5),
geneB=c(20, 3, 5),
geneC=c(5, 10, 21))
colnames(df) <- paste("Sample", 1:3)
plotLibrarySize(df)
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