19 citations · 26 across the 3 of their papers we have counts for
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stat.ME2013★ 5 cited
Network inference in matrix-variate Gaussian models with non-independent noise
Andy Dahl, Victoria Hore, Valentina Iotchkova +1
Inferring a graphical model or network from observational data from a large number of variables is a well studied problem in machine learning and computational statistics. In this…
stat.ME2010★ 19 cited
A Bayesian Method for Detecting and Characterizing Allelic Heterogeneity and Boosting Signals in Genome-Wide Association Studies
Zhan Su, Niall Cardin, the Wellcome Trust Case Control Consortium +2
The standard paradigm for the analysis of genome-wide association studies involves carrying out association tests at both typed and imputed SNPs. These methods will not be optimal…
stat.ME2010★ 2 cited
Introduction to the Special Issue: Genome-Wide Association Studies
Gang Zheng, Jonathan Marchini, Nancy L. Geller
Introduction to the Special Issue: Genome-Wide Association Studies