Bioconductor version: Release (2.12)
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.
Author: Bhaskar Dutta <bhaskar.dutta at gmail.com>, Anders Wallqvist <awallqvist at bhsai.org>, and Jaques Reifman <jreifman at bhsai.org>
Maintainer: Jason B. Smith <jsmith at bhsai.org>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("PathNet")
To cite this package in a publication, start R and enter:
citation("PathNet")
R Script | PathNet | |
Reference Manual |
biocViews | DifferentialExpression, MultipleComparisons, Pathways, Software |
Version | 1.0.0 |
In Bioconductor since | BioC 2.13 (R-2.18) |
License | GPL-3 |
Depends | R (>= 1.14.0) |
Imports | |
Suggests | PathNetData, RUnit, BiocGenerics |
System Requirements | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me |
Package Source | PathNet_1.0.0.tar.gz |
Windows Binary | PathNet_1.0.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | PathNet_1.0.0.tgz |
Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!