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mRMRe: Parallelized Minimum Redundancy, Maximum Relevance (mRMR)
Computes mutual information matrices from continuous, categorical and survival variables, as well as feature selection with minimum redundancy, maximum relevance (mRMR) and a new ensemble mRMR technique. Published in De Jay et al. (2013) <doi:10.1093/bioinformatics/btt383>.
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Package details |
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| Author | Nicolas De Jay [aut], Simon Papillon-Cavanagh [aut], Catharina Olsen [aut], Gianluca Bontempi [aut], Bo Li [aut], Christopher Eeles [ctb], Benjamin Haibe-Kains [aut, cre] |
| Maintainer | Benjamin Haibe-Kains <benjamin.haibe.kains@utoronto.ca> |
| License | Artistic-2.0 |
| Version | 2.1.2.1 |
| URL | https://www.pmgenomics.ca/bhklab/ |
| Package repository | View on CRAN |
| Installation |
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