Hybrid Method Based on Information Gain and Support Vector Machine for Gene Selection in Cancer Classification

It remains a great challenge to achieve sufficient cancer classification accuracy with the entire set of genes, due to the high dimensions, small sample size, and big noise of gene expression data. We thus proposed a hybrid gene selection method, Information Gain-Support Vector Machine (IG-SVM) in t...

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Detalles Bibliográficos
Autores principales: Gao, Lingyun, Ye, Mingquan, Lu, Xiaojie, Huang, Daobin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5828665/
https://www.ncbi.nlm.nih.gov/pubmed/29246519
http://dx.doi.org/10.1016/j.gpb.2017.08.002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5828665/
https://www.ncbi.nlm.nih.gov/pubmed/29246519
http://dx.doi.org/10.1016/j.gpb.2017.08.002

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