The 'binomialRF' is a new feature selection technique for decision trees that aims at providing an alternative approach to identify significant feature subsets using binomial distributional assumptions (Rachid Zaim, S., et al. (2019)) <doi:10.1101/681973>. Treating each splitting variable selection as a set of exchangeable correlated Bernoulli trials, 'binomialRF' then tests whether a feature is selected more often than by random chance.
Package details |
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Bioconductor views | DecisionTree DimensionReduction ExperimentalDesign GenePrediction Software StatisticalMethod |
Maintainer | |
License | GPL-2 |
Version | 0.0.2 |
URL | https://www.biorxiv.org/content/10.1101/681973v1.abstract |
Package repository | View on GitHub |
Installation |
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