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Feature Selection Using Approximate Conditional Entropy Based on Fuzzy Information Granule for Gene Expression Data Classification

Classification is widely used in gene expression data analysis. Feature selection is usually performed before classification because of the large number of genes and the small sample size in gene expression data. In this article, a novel feature selection algorithm using approximate conditional entr...

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Detalles Bibliográficos
Autor principal: Zhang, Hengyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042210/
https://www.ncbi.nlm.nih.gov/pubmed/33859666
http://dx.doi.org/10.3389/fgene.2021.631505

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