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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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Bibliografiske detaljer
Udgivet i:Gigascience
Main Authors: Hung, Ling-Hong, Shi, Kaiyuan, Wu, Migao, Young, William Chad, Raftery, Adrian E., Yeung, Ka Yee
Format: Artigo
Sprog:Inglês
Udgivet: Oxford University Press 2017
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5632288/
https://ncbi.nlm.nih.gov/pubmed/29020744
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/gigascience/gix078
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