Informative Gene Selection for Cancer Classification with Microarray Data Using a Metaheuristic Framework

OBJECTIVE: Cancer diagnosis is one of the most vital emerging clinical applications of microarray data. Due to the high dimensionality, gene selection is an important step for improving expression data classification performance. There is therefore a need for effective methods to select informative...

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Detalles Bibliográficos
Autores principales: M, Pyingkodi, R, Thangarajan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: West Asia Organization for Cancer Prevention 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5980950/
https://www.ncbi.nlm.nih.gov/pubmed/29481013
http://dx.doi.org/10.22034/APJCP.2018.19.2.561

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5980950/
https://www.ncbi.nlm.nih.gov/pubmed/29481013
http://dx.doi.org/10.22034/APJCP.2018.19.2.561

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