A Novel Weighted Support Vector Machine Based on Particle Swarm Optimization for Gene Selection and Tumor Classification

We develop a detection model based on support vector machines (SVMs) and particle swarm optimization (PSO) for gene selection and tumor classification problems. The proposed model consists of two stages: first, the well-known minimum redundancy-maximum relevance (mRMR) method is applied to preselect...

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Detalles Bibliográficos
Autores principales: Abdi, Mohammad Javad, Hosseini, Seyed Mohammad, Rezghi, Mansoor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3424529/
https://www.ncbi.nlm.nih.gov/pubmed/22924059
http://dx.doi.org/10.1155/2012/320698

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3424529/
https://www.ncbi.nlm.nih.gov/pubmed/22924059
http://dx.doi.org/10.1155/2012/320698

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