Article

fastBMA: Scalable Network Inference and Transitive Reduction

2017-01-06

Abstract excerpt

<h4>BACKGROUND:</h4> 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 novel and computationally efficient method for eliminating redundant indirect edges in the network. <h4>FINDINGS:</h4> We evaluated the per...

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Literature Corpus work: 19c356c2-7605-57bc-85c2-382fa34cda49
DOI: 10.1101/099036

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