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GARS: Genetic Algorithm for the identification of a Robust Subset of features in high-dimensional datasets

BACKGROUND: Feature selection is a crucial step in machine learning analysis. Currently, many feature selection approaches do not ensure satisfying results, in terms of accuracy and computational time, when the amount of data is huge, such as in ‘Omics’ datasets. RESULTS: Here, we propose an innovat...

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Bibliografiske detaljer
Udgivet i:BMC Bioinformatics
Main Authors: Chiesa, Mattia, Maioli, Giada, Colombo, Gualtiero I., Piacentini, Luca
Format: Artigo
Sprog:Inglês
Udgivet: BioMed Central 2020
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7014945/
https://ncbi.nlm.nih.gov/pubmed/32046651
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-3400-6
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