82 citations · 259 across the 11 of their papers we have counts for
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stat.AP2012
Determining the Number of Non-Spurious Arcs in a Learned DAG Model: Investigation of a Bayesian and a Frequentist Approach
Jennifer Listgarden, David Heckerman
In many application domains, such as computational biology, the goal of graphical model structure learning is to uncover discrete relationships between entities. For example, in ou…
q-bio.GN2012★ 82 cited
A powerful and efficient set test for genetic markers that handles confounders
Jennifer Listgarten, Christoph Lippert, Eun Yong Kang +3
Approaches for testing sets of variants, such as a set of rare or common variants within a gene or pathway, for association with complex traits are important. In particular, set te…