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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....
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2009
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| 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 |