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 |
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| Author | Ting Wei <weitinging@sjtu.edu.cn>; Zhangsheng Yu |
| Maintainer | Ting Wei <weitinging@sjtu.edu.cn> |
| License | LGPL (>= 2) |
| Version | 1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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