Correlation set analysis: detecting active regulators in disease populations using prior causal knowledge

BACKGROUND: Identification of active causal regulators is a crucial problem in understanding mechanism of diseases or finding drug targets. Methods that infer causal regulators directly from primary data have been proposed and successfully validated in some cases. These methods necessarily require v...

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Detalles Bibliográficos
Autores principales: Huang, Chia-Ling, Lamb, John, Chindelevitch, Leonid, Kostrowicki, Jarek, Guinney, Justin, DeLisi, Charles, Ziemek, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3382432/
https://www.ncbi.nlm.nih.gov/pubmed/22443377
http://dx.doi.org/10.1186/1471-2105-13-46

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3382432/
https://www.ncbi.nlm.nih.gov/pubmed/22443377
http://dx.doi.org/10.1186/1471-2105-13-46

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