Learn R Programming

⚠️There's a newer version (1.0.1) of this package.Take me there.

cancerGI (version 1.0.0)

Analyses of Cancer Gene Interaction

Description

Functions to perform the following analyses: i) inferring epistasis from RNAi double knockdown data; ii) identifying gene pairs of multiple mutation patterns; iii) assessing association between gene pairs and survival; and iv) calculating the smallworldness of a graph (e.g., a gene interaction network). Data and analyses are described in Wang, X., Fu, A. Q., McNerney, M. and White, K. P. (2014). Widespread genetic epistasis among breast cancer genes. Nature Communications. 5 4828. .

Copy Link

Version

Install

install.packages('cancerGI')

Monthly Downloads

166

Version

1.0.0

License

GPL (>= 2)

Maintainer

Audrey Q Fu

Last Published

April 1st, 2016

Functions in cancerGI (1.0.0)

RNAi

Molecular phenotypes from single and double knockdowns in RNAi screen
computeSurvivalPValueOneGenePair.output

Write results from survival analysis to output for one pair of genes
cancerGI-package

Statistical Analyses of Genetic Interactions in Cancer
processDataMutSurv

Find matched individuals in mutation and survival data
tested_pairs

Gene pairs tested in the double knockdown assay.
computeSmallWorldness

Compute smallworldness of a graph
computeSurvivalPValueOneGenePair

Survival analysis for one pair of genes
constructDesignMatrix

Generate a design matrix from raw RNAi data.
mutations

Genetic mutation data in patients.
computeSurvivalPValueForGenePairSet.output

Survival analysis for pairs of genes
survival

Patient survival data.
testMutationalPatternAll.wrapper

Compute the p and q values of all pairwise gene mutation patterns
computeSurvivalPValueGenePairAll.output

Survival analysis for pairs of genes (with matched individuals)