weitinging/MinNetRank: An easy and efficient network-based method of integrating multi-omics data for cancer genes discovery

MinNetRank utilized minimum strategy to prioritize genes both the mutation relevance score and expression relevance score are high. MinNetRank was a single sample network diffusion approach that could detect personalized driver genes. MinNetRank combined the ranking of genes for individual samples into a robust population-level gene ranking

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Package details

AuthorTing Wei <weitinging@sjtu.edu.cn>; Zhangsheng Yu
MaintainerTing Wei <weitinging@sjtu.edu.cn>
LicenseLGPL (>= 2)
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
weitinging/MinNetRank documentation built on Dec. 29, 2019, 12:26 a.m.