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cancerGI (version 1.0.1)

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. .

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Version

Install

install.packages('cancerGI')

Monthly Downloads

166

Version

1.0.1

License

GPL (>= 2)

Maintainer

Audrey Q Fu

Last Published

September 7th, 2023

Functions in cancerGI (1.0.1)

computeSurvivalPValueOneGenePair.output

Write results from survival analysis to output for one pair of genes
processDataMutSurv

Find matched individuals in mutation and survival data
survival

Patient survival data.
constructDesignMatrix

Generate a design matrix from raw RNAi data.
mutations

Genetic mutation data in patients.
testMutationalPatternAll.wrapper

Compute the p and q values of all pairwise gene mutation patterns
tested_pairs

Gene pairs tested in the double knockdown assay.
computeSurvivalPValueGenePairAll.output

Survival analysis for pairs of genes (with matched individuals)
RNAi

Molecular phenotypes from single and double knockdowns in RNAi screen
computeSurvivalPValueOneGenePair

Survival analysis for one pair of genes
computeSmallWorldness

Compute smallworldness of a graph
computeSurvivalPValueForGenePairSet.output

Survival analysis for pairs of genes