Integrating external biological knowledge in the construction of regulatory networks from time-series expression data

BACKGROUND: Inference about regulatory networks from high-throughput genomics data is of great interest in systems biology. We present a Bayesian approach to infer gene regulatory networks from time series expression data by integrating various types of biological knowledge. RESULTS: We formulate ne...

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Detalles Bibliográficos
Autores principales: Lo, Kenneth, Raftery, Adrian E, Dombek, Kenneth M, Zhu, Jun, Schadt, Eric E, Bumgarner, Roger E, Yeung, Ka Yee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3465231/
https://www.ncbi.nlm.nih.gov/pubmed/22898396
http://dx.doi.org/10.1186/1752-0509-6-101

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3465231/
https://www.ncbi.nlm.nih.gov/pubmed/22898396
http://dx.doi.org/10.1186/1752-0509-6-101

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