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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Detalles Bibliográficos
Autores principales: Tuck, David P, Kluger, Harriet M, Kluger, Yuval
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1482723/
https://www.ncbi.nlm.nih.gov/pubmed/16670008
http://dx.doi.org/10.1186/1471-2105-7-236

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1482723/
https://www.ncbi.nlm.nih.gov/pubmed/16670008
http://dx.doi.org/10.1186/1471-2105-7-236

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