Cancer microarray data feature selection using multi-objective binary particle swarm optimization algorithm

Cancer investigations in microarray data play a major role in cancer analysis and the treatment. Cancer microarray data consists of complex gene expressed patterns of cancer. In this article, a Multi-Objective Binary Particle Swarm Optimization (MOBPSO) algorithm is proposed for analyzing cancer gen...

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Detalles Bibliográficos
Autores principales: Annavarapu, Chandra Sekhara Rao, Dara, Suresh, Banka, Haider
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Leibniz Research Centre for Working Environment and Human Factors 2016
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5083964/
https://www.ncbi.nlm.nih.gov/pubmed/27822174
http://dx.doi.org/10.17179/excli2016-481

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5083964/
https://www.ncbi.nlm.nih.gov/pubmed/27822174
http://dx.doi.org/10.17179/excli2016-481

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