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 |
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Author | Junwei Han [cre], Baotong Zheng [aut], Siyao Liu [ctb] |
Maintainer | Junwei Han <hanjunwei1981@163.com> |
License | GPL (>= 2) |
Version | 0.1.3 |
Package repository | View on CRAN |
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