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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
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 |