GOpro
Find the most characteristic gene ontology terms for groups of human genes
Bioconductor version: 3.24 · Package version: 1.39.2
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).
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("GOpro")Details
| Maintainer | Lidia Chrabaszcz <chrabaszcz.lidia@gmail.com> |
| Author | Lidia Chrabaszcz |
| License | GPL-3 |
| URL | https://github.com/mi2-warsaw/GOpro |
| Bug Reports | https://github.com/mi2-warsaw/GOpro/issues |
| Downloads rank | 576 |
| Source branch | devel |
| biocViews | Annotation, Clustering, GO, GeneExpression, GeneSetEnrichment, MultipleComparison, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | GOpro_1.39.2.tar.gz |
| Windows binary (x86_64) | GOpro_1.39.2.zip |
| macOS binary (arm64) | GOpro_1.39.2.tgz |
| macOS binary (x86_64) | GOpro_1.39.2.tgz |
Dependencies
Depends: R (>= 3.5.0)
Imports: AnnotationDbi, dendextend, doParallel, foreach, parallel, org.Hs.eg.db, GO.db, Rcpp, stats, graphics, MultiAssayExperiment, IRanges, S4Vectors