To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("fgsea")
In most cases, you don't need to download the package archive at all.
This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see fgsea.
Bioconductor version: 3.4
The package implements an algorithm for fast gene set enrichment analysis. Using the fast algorithm allows to make more permutations and get more fine grained p-values, which allows to use accurate stantard approaches to multiple hypothesis correction.
Author: Alexey Sergushichev [aut, cre]
Maintainer: Alexey Sergushichev <alsergbox at gmail.com>
Citation (from within R,
enter citation("fgsea")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("fgsea")
HTML | R Script | Using fgsea package |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, GeneExpression, GeneSetEnrichment, Pathways, Software |
Version | 1.0.2 |
In Bioconductor since | BioC 3.4 (R-3.3) (0.5 years) |
License | MIT + file LICENCE |
Depends | R (>= 3.3), Rcpp |
Imports | data.table, BiocParallel, stats, ggplot2 (>= 2.2.0), gridExtra, grid, fastmatch |
LinkingTo | Rcpp |
Suggests | testthat, knitr, rmarkdown, reactome.db, AnnotationDbi, parallel |
SystemRequirements | C++11 |
Enhances | |
URL | https://github.com/ctlab/fgsea/ |
BugReports | https://github.com/ctlab/fgsea/issues |
Depends On Me | |
Imports Me | DOSE, piano |
Suggests Me | Pi |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | fgsea_1.0.2.tar.gz |
Windows Binary | fgsea_1.0.2.zip (32- & 64-bit) |
Mac OS X 10.9 (Mavericks) | fgsea_1.0.2.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/fgsea/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/fgsea/ |
Package Downloads Report | Download Stats |
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