Fine-grained parallelization of fitness functions in bioinformatics optimization problems: gene selection for cancer classification and biclustering of gene expression data

BACKGROUND: Metaheuristics are widely used to solve large combinatorial optimization problems in bioinformatics because of the huge set of possible solutions. Two representative problems are gene selection for cancer classification and biclustering of gene expression data. In most cases, these metah...

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Detalles Bibliográficos
Autores principales: Gomez-Pulido, Juan A., Cerrada-Barrios, Jose L., Trinidad-Amado, Sebastian, Lanza-Gutierrez, Jose M., Fernandez-Diaz, Ramon A., Crawford, Broderick, Soto, Ricardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5007680/
https://www.ncbi.nlm.nih.gov/pubmed/27581798
http://dx.doi.org/10.1186/s12859-016-1200-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5007680/
https://www.ncbi.nlm.nih.gov/pubmed/27581798
http://dx.doi.org/10.1186/s12859-016-1200-9

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