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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...
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| Autors principals: | , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Oxford University Press
2005
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1092273/ https://ncbi.nlm.nih.gov/pubmed/15886390 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nar/gki536 |
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