GSALightning
Fast Permutation-based Gene Set Analysis
Bioconductor version: Release (3.20)
GSALightning provides a fast implementation of permutation-based gene set analysis for two-sample problem. This package is particularly useful when testing simultaneously a large number of gene sets, or when a large number of permutations is necessary for more accurate p-values estimation.
Author: Billy Heung Wing Chang
Maintainer: Billy Heung Wing Chang <billyheungwing at gmail.com>
citation("GSALightning")):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("GSALightning")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("GSALightning")| Vignette Title | HTML | R Script |
| Reference Manual | ||
| NEWS | Text | |
| LICENSE | Text |
Details
| biocViews | BiologicalQuestion, DifferentialExpression, GeneExpression, GeneSetEnrichment, Software, Transcription |
| Version | 1.34.0 |
| In Bioconductor since | BioC 3.3 (R-3.3) (8.5 years) |
| License | GPL (>=2) |
| Depends | R (>= 3.3.0) |
| Imports | Matrix, data.table, stats |
| System Requirements | |
| URL | https://github.com/billyhw/GSALightning |
| Bug Reports | https://github.com/billyhw/GSALightning/issues |
See More
| Suggests | knitr, rmarkdown |
| 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 | GSALightning_1.34.0.tar.gz |
| Windows Binary (x86_64) | GSALightning_1.34.0.zip (64-bit only) |
| macOS Binary (x86_64) | GSALightning_1.34.0.tgz |
| macOS Binary (arm64) | GSALightning_1.34.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/GSALightning |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/GSALightning |
| Bioc Package Browser | https://code.bioconductor.org/browse/GSALightning/ |
| Package Short Url | https://bioconductor.org/packages/GSALightning/ |
| Package Downloads Report | Download Stats |