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• W2885496398 abstract "We describe the R package rmcfs that implements an algorithm for ranking features from high dimensional data according to their importance for a given supervised classification task. The ranking is performed prior to addressing the classification task per se. This R package is the new and extended version of the MCFS (Monte Carlo feature selection) algorithm where an early version was published in 2005. The package provides an easy R interface, a set of tools to review results and the new ID (interdependency discovery) component. The algorithm can be used on continuous and/or categorical features (e.g., gene expression and phenotypic data) to produce an objective ranking of features with a statistically well-defined cutoff between informative and non-informative ones. Moreover, the directed ID graph that presents interdependencies between informative features is provided." @default.
• W2885496398 created "2018-08-22" @default.
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• W2885496398 date "2018-01-01" @default.
• W2885496398 modified "2023-09-23" @default.
• W2885496398 title "<b>rmcfs</b>: An <i>R</i> Package for Monte Carlo Feature Selection and Interdependency Discovery" @default.
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• W2885496398 doi "https://doi.org/10.18637/jss.v085.i12" @default.
• W2885496398 hasPublicationYear "2018" @default.
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