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
|Author||Ting Wei <firstname.lastname@example.org>; Zhangsheng Yu|
|Maintainer||Ting Wei <email@example.com>|
|License||LGPL (>= 2)|
|Package repository||View on GitHub|
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