Multi-objective dynamic population shuffled frog-leaping biclustering of microarray data

BACKGROUND: Multi-objective optimization (MOO) involves optimization problems with multiple objectives. Generally, theose objectives is used to estimate very different aspects of the solutions, and these aspects are often in conflict with each other. MOO first gets a Pareto set, and then looks for b...

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Detalles Bibliográficos
Autores principales: Liu, Junwan, Li, Zhoujun, Hu, Xiaohua, Chen, Yiming, Liu, Feifei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394423/
https://www.ncbi.nlm.nih.gov/pubmed/22759615
http://dx.doi.org/10.1186/1471-2164-13-S3-S6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394423/
https://www.ncbi.nlm.nih.gov/pubmed/22759615
http://dx.doi.org/10.1186/1471-2164-13-S3-S6

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