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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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Detalhes bibliográficos
Publicado no:Front Genet
Autor principal: Zhang, Hengyi
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2021
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8042210/
https://ncbi.nlm.nih.gov/pubmed/33859666
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2021.631505
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