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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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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2020
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| Assuntos: | |
| Acesso em linha: | 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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