Package: SeqGSEA
Type: Package
Title: Gene Set Enrichment Analysis (GSEA) of RNA-Seq Data: integrating
        differential expression and splicing
Version: 1.26.0
Date: 2018-12-12
Author: Xi Wang <Xi.Wang@newcastle.edu.au>
Maintainer: Xi Wang <Xi.Wang@dkfz.de>
Description: 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.
License: GPL (>= 3)
Depends: Biobase, doParallel, DESeq
Imports: methods, biomaRt
Suggests: easyRNASeq, GenomicRanges
biocViews: Sequencing, RNASeq, GeneSetEnrichment, GeneExpression,
        DifferentialExpression, DifferentialSplicing, ImmunoOncology
git_url: https://git.bioconductor.org/packages/SeqGSEA
git_branch: RELEASE_3_10
git_last_commit: 80d09f7
git_last_commit_date: 2019-10-29
Date/Publication: 2019-10-29
NeedsCompilation: no
Packaged: 2019-10-30 02:17:46 UTC; biocbuild
Built: R 3.6.1; ; 2019-10-30 14:11:36 UTC; windows
