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DriverNet (version 1.12.0)

Drivernet: uncovering somatic driver mutations modulating transcriptional networks in cancer

Description

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.

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Version

Version

1.12.0

License

GPL-3

Maintainer

Jiarui Ding

Last Published

February 15th, 2017

Functions in DriverNet (1.12.0)

drivers

List of driver mutations identified by DriverNet
sampleInfluenceGraph

Sample influence graph
samplePatientMutationMatrix

Sample patient mutation matrix
samplePatientExpressionMatrix

Sample patient expression matrix
sampleDriversList

Sample DriverNet result
preprocessMatrices

Remove unnecessary entries from matrices
computeRandomizedResult

Randomly compute lists of driver mutations
DriverNetResult-class

Class "DriverNetResult"
getPatientOutlierMatrix

Compute the patient outlier matrix
DriverNet-package

Drivernet: uncovering somatic driver mutations modulating transcriptional networks in cancer
resultSummary

Summarize result for drivers ranking.
actualEvents

Actual events covered by driver mutations
totalEvents

Total number of events in the data
sampleGeneNames

Sample gene names
sampleRandomDriversResult

Sample Result from computeRandomizedResult
computeDrivers

Compute a list of driver mutations
samplePatientOutlierMatrix

Sample patient outlier matrix