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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Detalles Bibliográficos
Autores principales: Chiesa, Mattia, Maioli, Giada, Colombo, Gualtiero I., Piacentini, Luca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014945/
https://www.ncbi.nlm.nih.gov/pubmed/32046651
http://dx.doi.org/10.1186/s12859-020-3400-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014945/
https://www.ncbi.nlm.nih.gov/pubmed/32046651
http://dx.doi.org/10.1186/s12859-020-3400-6

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