SeqGSEA: Gene Set Enrichment Analysis (GSEA) of RNA-Seq Data: integrating differential expression and splicing
Version 1.16.0

The package generally provides methods for gene set enrichment analysis of high-throughput RNA-Seq data by integrating differential expression and splicing. It uses negative binomial distribution to model read count data, which accounts for sequencing biases and biological variation. Based on permutation tests, statistical significance can also be achieved regarding each gene's differential expression and splicing, respectively.

Package details

AuthorXi Wang <[email protected]>
Bioconductor views DifferentialExpression GeneExpression GeneSetEnrichment RNASeq Sequencing
MaintainerXi Wang <[email protected]>
LicenseGPL (>= 3)
Version1.16.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("SeqGSEA")

Try the SeqGSEA package in your browser

Any scripts or data that you put into this service are public.

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