To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("SeqGSEA")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.5)
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.
Author: Xi Wang <Xi.Wang at newcastle.edu.au>
Maintainer: Xi Wang <Xi.Wang at mdc-berlin.de>
Citation (from within R,
enter citation("SeqGSEA")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("SeqGSEA")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SeqGSEA")
Follow Installation instructions to use this package in your R session.
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