Fast Bayesian inference for gene regulatory networks using ScanBMA

BACKGROUND: Genome-wide time-series data provide a rich set of information for discovering gene regulatory relationships. As genome-wide data for mammalian systems are being generated, it is critical to develop network inference methods that can handle tens of thousands of genes efficiently, provide...

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Detalles Bibliográficos
Autores principales: Young, William Chad, Raftery, Adrian E, Yeung, Ka Yee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4006459/
https://www.ncbi.nlm.nih.gov/pubmed/24742092
http://dx.doi.org/10.1186/1752-0509-8-47

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4006459/
https://www.ncbi.nlm.nih.gov/pubmed/24742092
http://dx.doi.org/10.1186/1752-0509-8-47

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