5 citations · 27 across the 19 of their papers we have counts for
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stat.ME2016
Heterogeneous Reciprocal Graphical Models
Yang Ni, Peter Mueller, Yitan Zhu +1
We develop novel hierarchical reciprocal graphical models to infer gene networks from heterogeneous data. In the case of data that can be naturally divided into known groups, we pr…
stat.ME2016
Reciprocal Graphical Models for Integrative Gene Regulatory Network Analysis
Yang Ni, Yuan Ji, Peter Mueller
Constructing gene regulatory networks is a fundamental task in systems biology. We introduce a Gaussian reciprocal graphical model for inference about gene regulatory relationships…