ICDS: Identification of Cancer Dysfunctional Subpathway by Integrating DNA Methylation, Copy Number Variation, and Gene Expression Data

Identify Cancer Dysfunctional Sub-pathway by integrating gene expression, DNA methylation and copy number variation, and pathway topological information. 1)We firstly calculate the gene risk scores by integrating three kinds of data: DNA methylation, copy number variation, and gene expression. 2)Secondly, we perform a greedy search algorithm to identify the key dysfunctional sub-pathways within the pathways for which the discriminative scores were locally maximal. 3)Finally, the permutation test was used to calculate statistical significance level for these key dysfunctional sub-pathways.

Package details

AuthorJunwei Han,Baotong Zheng,Siyao Liu
MaintainerJunwei Han <[email protected]>
LicenseGPL (>= 2)
Version0.1.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ICDS")

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ICDS documentation built on May 1, 2019, 10:09 p.m.