BMC Systems Biology · 2014 · 32 citations · 53 references
Boolean polynomial dynamical systems provide a powerful modeling framework for the reverse engineering of gene regulatory networks, that enables a rich mathematical structure on the model search space. A C++ implementation of the method, distributed under LPGL license, is available, together with the source code, at http://www.paola-vera-licona.net/Software/EARevEng/REACT.html.
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Using Bayesian Networks to Analyze Expression Data
Nir Friedman, Michal Linial, Iftach Nachman et al. · Journal of Computational Biology · 2000 · 3.3K citations
Wisdom of crowds for robust gene network inference
Daniel Marbach, James C. Costello, Robert Küffner et al. · Nature Methods · 2012 · 1.7K citations · Full text
Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks
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