100 citations · 207 across the 28 of their papers we have counts for
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stat.ML2011
On Identifying Significant Edges in Graphical Models of Molecular Networks
Marco Scutari, Radhakrishnan Nagarajan
Objective: Modelling the associations from high-throughput experimental molecular data has provided unprecedented insights into biological pathways and signalling mechanisms. Graph…
stat.ML2011★ 17 cited
Bayesian Network Structure Learning with Permutation Tests
Marco Scutari, Adriana Brogini
In literature there are several studies on the performance of Bayesian network structure learning algorithms. The focus of these studies is almost always the heuristics the learnin…