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SeqGSEA

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

Bioconductor version: 3.23 · Package version: 1.52.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("SeqGSEA")

Details

MaintainerXi Wang <Xi.Wang@dkfz.de>
AuthorXi Wang <Xi.Wang@newcastle.edu.au>
LicenseGPL (>= 3)
Downloads rank639
Source branchRELEASE_3_23
biocViewsDifferentialExpression, DifferentialSplicing, GeneExpression, GeneSetEnrichment, ImmunoOncology, RNASeq, Sequencing, Software

Download

Follow the installation instructions to use this package in your R session.

Source packageSeqGSEA_1.52.0.tar.gz
Windows binary (x86_64)SeqGSEA_1.52.0.zip
macOS binary (arm64)SeqGSEA_1.52.0.tgz
macOS binary (x86_64)SeqGSEA_1.52.0.tgz
Dependencies

Depends: Biobase, doParallel, DESeq2

Imports: methods, biomaRt

Suggests: GenomicRanges