SeqGSEA
This is the development version of SeqGSEA; for the stable release version, see SeqGSEA.
Gene Set Enrichment Analysis (GSEA) of RNA-Seq Data: integrating differential expression and splicing
Bioconductor version: Development (3.19)
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 dkfz.de>
citation("SeqGSEA")):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("SeqGSEA")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
| Reference Manual |
Details
| biocViews | DifferentialExpression, DifferentialSplicing, GeneExpression, GeneSetEnrichment, ImmunoOncology, RNASeq, Sequencing, Software |
| Version | 1.43.0 |
| In Bioconductor since | BioC 2.12 (R-3.0) (11 years) |
| License | GPL (>= 3) |
| Depends | Biobase, doParallel, DESeq2 |
| Imports | methods, biomaRt |
| System Requirements | |
| URL |
See More
| Suggests | GenomicRanges |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | |
| Windows Binary | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/SeqGSEA |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/SeqGSEA |
| Package Short Url | https://bioconductor.org/packages/SeqGSEA/ |
| Package Downloads Report | Download Stats |