24 citations · 35 across the 3 of their papers we have counts for
3 papers
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 group latent factor analysis with structured sparsity
Shiwen Zhao, Chuan Gao, Sayan Mukherjee +1
Latent factor models are the canonical statistical tool for exploratory analyses of low-dimensional linear structure for an observation matrix with p features across n samples. We…
A latent factor model with a mixture of sparse and dense factors to model gene expression data with confounding effects
Chuan Gao, Christopher D Brown, Barbara E Engelhardt
One important problem in genome science is to determine sets of co-regulated genes based on measurements of gene expression levels across samples, where the quantification of expre…