This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see SeqGSEA.
Bioconductor version: 3.7
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")
R Script | Gene set enrichment analysis of RNA-Seq data with the SeqGSEA package | |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, GeneExpression, GeneSetEnrichment, RNASeq, Sequencing, Software |
Version | 1.20.0 |
In Bioconductor since | BioC 2.12 (R-3.0) (5.5 years) |
License | GPL (>= 3) |
Depends | Biobase, doParallel, DESeq |
Imports | methods, biomaRt |
LinkingTo | |
Suggests | easyRNASeq, GenomicRanges |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | SeqGSEA_1.20.0.tar.gz |
Windows Binary | SeqGSEA_1.20.0.zip |
Mac OS X 10.11 (El Capitan) | SeqGSEA_1.20.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/SeqGSEA |
Source Repository (Developer Access) | git clone [email protected]:packages/SeqGSEA |
Package Short Url | http://bioconductor.org/packages/SeqGSEA/ |
Package Downloads Report | Download Stats |
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