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Simultaneous clustering of gene expression data with clinical chemistry and pathological evaluations reveals phenotypic prototypes
BACKGROUND: Commonly employed clustering methods for analysis of gene expression data do not directly incorporate phenotypic data about the samples. Furthermore, clustering of samples with known phenotypes is typically performed in an informal fashion. The inability of clustering algorithms to incor...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2007
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1839893/ https://ncbi.nlm.nih.gov/pubmed/17408499 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1752-0509-1-15 |
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