An enhancement of binary particle swarm optimization for gene selection in classifying cancer classes

BACKGROUND: Gene expression data could likely be a momentous help in the progress of proficient cancer diagnoses and classification platforms. Lately, many researchers analyze gene expression data using diverse computational intelligence methods, for selecting a small subset of informative genes fro...

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Detalles Bibliográficos
Autores principales: Mohamad, Mohd Saberi, Omatu, Sigeru, Deris, Safaai, Yoshioka, Michifumi, Abdullah, Afnizanfaizal, Ibrahim, Zuwairie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3847130/
https://www.ncbi.nlm.nih.gov/pubmed/23617960
http://dx.doi.org/10.1186/1748-7188-8-15

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3847130/
https://www.ncbi.nlm.nih.gov/pubmed/23617960
http://dx.doi.org/10.1186/1748-7188-8-15

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