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A mathematical and computational framework for quantitative comparison and integration of large-scale gene expression data
Analysis of large-scale gene expression studies usually begins with gene clustering. A ubiquitous problem is that different algorithms applied to the same data inevitably give different results, and the differences are often substantial, involving a quarter or more of the genes analyzed. This raises...
| Autores principales: | , , , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2005
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1092273/ https://www.ncbi.nlm.nih.gov/pubmed/15886390 http://dx.doi.org/10.1093/nar/gki536 |