A Bayes random field approach for integrative large-scale regulatory network analysis
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We present a Bayes-Random Fields framework which is capable of integrating unlimited data sources for discovering relevant network architecture of large-scale networks. The random field potential function is designed to impose a cluster constraint, teamed with... ...
