PathNet
An R package for pathway analysis using topological information
Bioconductor version: 3.24 · Package version: 1.53.0
PathNet uses topological information present in pathways and differential expression levels of genes (obtained from microarray experiment) to identify pathways that are 1) significantly enriched and 2) associated with each other in the context of differential expression. The algorithm is described in: PathNet: A tool for pathway analysis using topological information. Dutta B, Wallqvist A, and Reifman J. Source Code for Biology and Medicine 2012 Sep 24;7(1):10.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("PathNet") Details
| Maintainer | Ludwig Geistlinger <ludwig.geistlinger@gmail.com> |
| Author | Bhaskar Dutta <bhaskar.dutta@gmail.com>, Anders Wallqvist <awallqvist@bhsai.org>, and Jaques Reifman <jreifman@bhsai.org> |
| License | GPL-3 |
| Downloads rank | 451 |
| Source branch | devel |
| biocViews | DifferentialExpression, KEGG, MultipleComparison, Network, NetworkEnrichment, Pathways, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | PathNet_1.53.0.tar.gz |
| Windows binary (x86_64) | PathNet_1.53.0.zip |
| macOS binary (arm64) | PathNet_1.53.0.tgz |
| macOS binary (x86_64) | PathNet_1.53.0.tgz |
Dependencies
Suggests: PathNetData, RUnit, BiocGenerics