Optimal combination of feature selection and classification via local hyperplane based learning strategy

BACKGROUND: Classifying cancers by gene selection is among the most important and challenging procedures in biomedicine. A major challenge is to design an effective method that eliminates irrelevant, redundant, or noisy genes from the classification, while retaining all of the highly discriminative...

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Detalles Bibliográficos
Autores principales: Cheng, Xiaoping, Cai, Hongmin, Zhang, Yue, Xu, Bo, Su, Weifeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4498526/
https://www.ncbi.nlm.nih.gov/pubmed/26159165
http://dx.doi.org/10.1186/s12859-015-0629-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4498526/
https://www.ncbi.nlm.nih.gov/pubmed/26159165
http://dx.doi.org/10.1186/s12859-015-0629-6

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