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RTCGA (version 1.2.2)

getDiffExpressedGenes: Perform differential gene expression analysis for mRNA expression data.

Description

getDiffExpressedGenes returns a list that stores the results for each dataset.

Usage

getDiffExpressedGenes(dataObject, DrawPlots = TRUE, adj.method = "BH",
  adj.pval = 0.05, raw.pval = 0.05, logFC = 2, hmTopUpN = 100,
  hmTopDownN = 100, meanFilter = 10)

Arguments

dataObject
This must be FirehoseData object.
DrawPlots
A logical parameter to draw heatmaps and volcano plots.
adj.method
Raw p value adjustment methods (Default "BH")
adj.pval
Adjusted p value cut off for results table (Default 0.05)
raw.pval
raw p value cut off for results table (Default 0.05)
logFC
log fold change cut off for results table (Default 2)
hmTopUpN
Max number of up regulated genes in heatmap (Default 100)
hmTopDownN
Max number of down regulated genes in heatmap (Default 100)
meanFilter
Mean read counts for each gene to filter not expressed genes (Default 10)

Value

  • Returns a list that stores results for each dataset

Examples

Run this code
data(RTCGASample)
dgegenes = getDiffExpressedGenes(RTCGASample)
dgegenes
showResults(dgegenes[[1]])
dgegenes = showResults(dgegenes[[1]])
head(dgegenes)

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