Classical and Bayesian approaches to reconstructing genetic regulatory networks
1 Computer Science and Engineering Department, SUNY at Buffalo, NY, USA mbeal@cse.buffalo.edu 2 Department of Computational and Molecular Biology, University of Southern California, USA rangelc@usc.edu 3 School of Biosciences, University of Birmingham, UK f.falciani@bham.ac.uk 4 Gatsby Computational Neuroscience Unit, University College London, UK zoubin@gatsby.ucl.ac.uk 5 Keck Graduate Institute of Applied Life Sciences, CA, USA david wild@kgi.edu