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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...
Autores principales: | Su, Qiang, Wang, Yina, Jiang, Xiaobing, Chen, Fuxue, Lu, Wen-cong |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2017
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Materias: | |
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 |
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