12 citations · 29 across the 7 of their papers we have counts for
4 papers · 1 filter
Contrastive linear regression
Boyang Zhang, Sarah Nyquist, Andrew Jones +2
Contrastive dimension reduction methods have been developed for case-control study data to identify variation that is enriched in the foreground (case) data X relative to the backg…
A Divide and Conquer Strategy for High Dimensional Bayesian Factor Models
Gautam Sabnis, Debdeep Pati, Barbara Engelhardt +1
We propose a distributed computing framework, based on a divide and conquer strategy and hierarchical modeling, to accelerate posterior inference for high-dimensional Bayesian fact…
Differential gene co-expression networks via Bayesian biclustering models
Chuan Gao, Shiwen Zhao, Ian C. McDowell +2
Identifying latent structure in large data matrices is essential for exploring biological processes. Here, we consider recovering gene co-expression networks from gene expression d…
Bayesian Structured Sparsity from Gaussian Fields
Barbara E. Engelhardt, Ryan P. Adams
Substantial research on structured sparsity has contributed to analysis of many different applications. However, there have been few Bayesian procedures among this work. Here, we d…