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Methods for evaluating clustering algorithms for gene expression data using a reference set of functional classes
BACKGROUND: A cluster analysis is the most commonly performed procedure (often regarded as a first step) on a set of gene expression profiles. In most cases, a post hoc analysis is done to see if the genes in the same clusters can be functionally correlated. While past successes of such analyses hav...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2006
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1590054/ https://www.ncbi.nlm.nih.gov/pubmed/16945146 http://dx.doi.org/10.1186/1471-2105-7-397 |