A Learning Algorithm for Bayesian Networks and Its Efficient Implementation on GPUs

The wide application of omics research has produced a burst of biological data in recent years, which has in turn increased the need to infer biological networks from data. Learning biological networks from experimental data can help detect and analyze aberrant signaling pathways, which can be used...

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Veröffentlicht in:	IEEE transactions on parallel and distributed systems 2016-01, Vol.27 (1), p.17-30
Hauptverfasser:	Wang, Yu, Qian, Weikang, Zhang, Shuchang, Liang, Xiaoyao, Yuan, Bo
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayes methods Bayesian Networks Biological system modeling Clustering algorithms GPU Graphics processing units Indexes Markov processes MCMC Parallel Computing Priors
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