ICDS: Identification of Cancer Dysfunctional Subpathway with Omics 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 [cre], Baotong Zheng [aut], Siyao Liu [ctb]
MaintainerJunwei Han <hanjunwei1981@163.com>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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ICDS documentation built on July 15, 2021, 5:06 p.m.