fastBMA: scalable network inference and transitive reduction

Inferring genetic networks from genome-wide expression data is extremely demanding computationally. We have developed fastBMA, a distributed, parallel, and scalable implementation of Bayesian model averaging (BMA) for this purpose. fastBMA also includes a computationally efficient module for elimina...

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Detalles Bibliográficos
Autores principales: Hung, Ling-Hong, Shi, Kaiyuan, Wu, Migao, Young, William Chad, Raftery, Adrian E., Yeung, Ka Yee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Technical Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632288/
https://www.ncbi.nlm.nih.gov/pubmed/29020744
http://dx.doi.org/10.1093/gigascience/gix078

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632288/
https://www.ncbi.nlm.nih.gov/pubmed/29020744
http://dx.doi.org/10.1093/gigascience/gix078

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