Biclustering of gene expression data using reactive greedy randomized adaptive search procedure

BACKGROUND: Biclustering algorithms belong to a distinct class of clustering algorithms that perform simultaneous clustering of both rows and columns of the gene expression matrix and can be a very useful analysis tool when some genes have multiple functions and experimental conditions are diverse....

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Detalles Bibliográficos
Autores principales: Dharan, Smitha, Nair, Achuthsankar S
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2648745/
https://www.ncbi.nlm.nih.gov/pubmed/19208127
http://dx.doi.org/10.1186/1471-2105-10-S1-S27

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2648745/
https://www.ncbi.nlm.nih.gov/pubmed/19208127
http://dx.doi.org/10.1186/1471-2105-10-S1-S27

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