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Characterizing disease states from topological properties of transcriptional regulatory networks
BACKGROUND: High throughput gene expression experiments yield large amounts of data that can augment our understanding of disease processes, in addition to classifying samples. Here we present new paradigms of data Separation based on construction of transcriptional regulatory networks for normal an...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2006
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1482723/ https://ncbi.nlm.nih.gov/pubmed/16670008 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-7-236 |
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