View source: R/getVariableGenes.R
getVariableGenes | R Documentation |
returns the most variable genes in data
getVariableGenes(data, ntop = 100, sdcut = 0)
data: |
normalized deseq matrix data (with varianceStablizing, rlog etc - eg. assay(vsd) |
ntop: |
how many genes to display (the <ntop> most variable genes) |
sdcut: |
return all genes having higher sd than this cutoff |
vst <- varianceStabilizingTransformation(dds)
getVariableGenes(data = assay(vst),ntop = 100)
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