19 citations · 25 across the 2 of their papers we have counts for
2 papers
stat.ML2013★ 6 cited
Weakly supervised clustering: Learning fine-grained signals from coarse labels
Stefan Wager, Alexander Blocker, Niall Cardin
Consider a classification problem where we do not have access to labels for individual training examples, but only have average labels over subpopulations. We give practical exampl…
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…