A multi-objective optimization algorithm for disease sub-type discovery based on a non-dominated sorting genetic algorithm. The 'Galgo' framework combines the advantages of clustering algorithms for grouping heterogeneous 'omics' data and the searching properties of genetic algorithms for feature selection and optimal number of clusters determination to find features that maximize the survival difference between sub-types while keeping cluster consistency high.
Package details |
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Author | Martin Guerrero [aut,cre], Carlos Catania [cre] |
Maintainer | Carlos Catania <harpomaxx@gmail.com> |
License | MIT + file LICENSE |
Version | 0.2.0 |
URL | https://github.com/harpomaxx/galgo |
Package repository | View on GitHub |
Installation |
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