ShandongUniversityZhanglab/DriverRWH: DriverRWH: Discovering Cancer Driver Genes by Random Walk on a Gene Mutation Hypergraph
By effective integration of somatic mutation data and molecular interaction data, DriverRWH prioritizes altered genes.A weighted Hypergraph model is formed by combining the degree of the PPI sub-network composed of each patient's mutated genes.Mutated genes are ranked by the random walk on the weighted Hypergraph model.
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Package details |
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| Author | Naiqian Zhang <nqzhang@email.sdu.edu.cn> Chengye Wang <w18669341630@163.com> Junhan Shi <jshmshijh@163.com> |
| Maintainer | Junhan Shi <jshmshijh@163.com> |
| License | MIT |
| Version | 1.0.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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