Application of genetic algorithms and constructive neural networks for the analysis of microarray cancer data

BACKGROUND: Extracting relevant information from microarray data is a very complex task due to the characteristics of the data sets, as they comprise a large number of features while few samples are generally available. In this sense, feature selection is a very important aspect of the analysis help...

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Detalles Bibliográficos
Autores principales: Luque-Baena, Rafael Marcos, Urda, Daniel, Subirats, Jose Luis, Franco, Leonardo, Jerez, Jose M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4108856/
https://www.ncbi.nlm.nih.gov/pubmed/25077572
http://dx.doi.org/10.1186/1742-4682-11-S1-S7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4108856/
https://www.ncbi.nlm.nih.gov/pubmed/25077572
http://dx.doi.org/10.1186/1742-4682-11-S1-S7

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