DriverNet: Drivernet: uncovering somatic driver mutations modulating transcriptional networks in cancer
Version 1.16.0

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.

Package details

AuthorAli Bashashati, Reza Haffari, Jiarui Ding, Gavin Ha, Kenneth Liu, Jamie Rosner and Sohrab Shah
Bioconductor views Network
MaintainerJiarui Ding <[email protected]>
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:

Try the DriverNet package in your browser

Any scripts or data that you put into this service are public.

DriverNet documentation built on May 31, 2017, 11:45 a.m.