A Cancer Gene Selection Algorithm Based on the K-S Test and CFS

BACKGROUND: To address the challenging problem of selecting distinguished genes from cancer gene expression datasets, this paper presents a gene subset selection algorithm based on the Kolmogorov-Smirnov (K-S) test and correlation-based feature selection (CFS) principles. The algorithm selects disti...

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Detalles Bibliográficos
Autores principales: Su, Qiang, Wang, Yina, Jiang, Xiaobing, Chen, Fuxue, Lu, Wen-cong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5439177/
https://www.ncbi.nlm.nih.gov/pubmed/28567418
http://dx.doi.org/10.1155/2017/1645619

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5439177/
https://www.ncbi.nlm.nih.gov/pubmed/28567418
http://dx.doi.org/10.1155/2017/1645619

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