To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("GOpro")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.5)
Find the most characteristic gene ontology terms for groups of human genes. This package was created as a part of the thesis which was developed under the auspices of MI^2 Group (http://mi2.mini.pw.edu.pl/, https://github.com/geneticsMiNIng).
Author: Lidia Chrabaszcz
Maintainer: Lidia Chrabaszcz <chrabaszcz.lidia at gmail.com>
Citation (from within R,
enter citation("GOpro")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("GOpro")
HTML | R Script | GOpro: Determine groups of genes and find their characteristic GO term |
Reference Manual | ||
Text | NEWS |
biocViews | Annotation, Clustering, GO, GeneExpression, GeneSetEnrichment, MultipleComparison, Software |
Version | 1.2.0 |
In Bioconductor since | BioC 3.4 (R-3.3) (1 year) |
License | GPL-3 |
Depends | R (>= 3.4) |
Imports | AnnotationDbi, dendextend, doParallel, foreach, parallel, org.Hs.eg.db, GO.db, Rcpp, stats, graphics, MultiAssayExperiment, IRanges, S4Vectors |
LinkingTo | Rcpp, BH |
Suggests | knitr, rmarkdown, RTCGA.PANCAN12, BiocStyle, testthat |
SystemRequirements | |
Enhances | |
URL | https://github.com/mi2-warsaw/GOpro |
BugReports | https://github.com/mi2-warsaw/GOpro/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | GOpro_1.2.0.tar.gz |
Windows Binary | GOpro_1.2.0.zip (32- & 64-bit) |
Mac OS X 10.11 (El Capitan) | GOpro_1.2.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/GOpro |
Package Short Url | http://bioconductor.org/packages/GOpro/ |
Package Downloads Report | Download Stats |
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