DENBStatPermut4GSEA: Calculate NB-statistics quantifying DE for each gene in the...

Description Usage Arguments Value Note Author(s) References See Also Examples

View source: R/DEscore.R

Description

Calculate NB-statistics quantifying differential expression for each gene in the permutation data sets. The results will be used for GSEA run.

Usage

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DENBStatPermut4GSEA(DEG, permuteMat)

Arguments

DEG

a CountDataSet object, can be the output of runDESeq.

permuteMat

a permutation matrix generated by genpermuteMat.

Value

A matrix of NB-statistics. Each row corresponds to each gene, and each column to each permutation.

Note

The results with the output of DENBStat4GSEA can also be used to run DEpermutePval.

Author(s)

Xi Wang, [email protected]

References

Xi Wang and Murray J. Cairns (2013). Gene Set Enrichment Analysis of RNA-Seq Data: Integrating Differential Expression and Splicing. BMC Bioinformatics, 14(Suppl 5):S16.

See Also

DENBStat4GSEA, runDESeq, DEpermutePval, genpermuteMat

Examples

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data(RCS_example, package="SeqGSEA")
permuteMat <- genpermuteMat(RCS_example, times=10)
geneCounts <- getGeneCount(RCS_example)
label <- label(RCS_example)
DEG <- runDESeq(geneCounts, label)
DEpermNBstat <- DENBStatPermut4GSEA(DEG, permuteMat) 
DEpermNBstat[1:10,1:10]

SeqGSEA documentation built on May 31, 2017, 3:19 p.m.