DriverNet

Drivernet: uncovering somatic driver mutations modulating transcriptional networks in cancer

Bioconductor version: Release (2.14)

DriverNet is a package to predict functional important driver genes in cancer by integrating genome data (mutation and copy number variation data) and transcriptome data (gene expression data). The different kinds of data are combined by an influence graph, which is a gene-gene interaction network deduced from pathway data. A greedy algorithm is used to find the possible driver genes, which may mutated in a larger number of patients and these mutations will push the gene expression values of the connected genes to some extreme values.

Author: Ali Bashashati, Reza Haffari, Jiarui Ding, Gavin Ha, Kenneth Liu, Jamie Rosner and Sohrab Shah

Maintainer: Jiarui Ding <jiaruid at cs.ubc.ca>

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("DriverNet")

Citation (from within R, enter citation("DriverNet")):

Documentation

PDF R Script An introduction to DriverNet
PDF   Reference Manual

Details

biocViews Network, Software
Version 1.4.0
In Bioconductor since BioC 2.12 (R-3.0)
License GPL-3
Depends R (>= 2.10), methods
Imports
Suggests
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URL
Depends On Me
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Package Downloads

Package Source DriverNet_1.4.0.tar.gz
Windows Binary DriverNet_1.4.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) DriverNet_1.4.0.tgz
Mac OS X 10.9 (Mavericks) DriverNet_1.4.0.tgz
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