4 papers
Graph-Adaptive Horseshoe for Compositional Regression
Satabdi Saha, Christine B. Peterson
Compositional predictors, such as microbiome abundances, pose unique challenges in variable selection due to their unit-sum constraint and inherent dependencies. Existing approache…
Bayesian Sparse Regression for Microbiome-Metabolite Data Integration
Kai Jiang, Satabdi Saha, Christine B. Peterson
Numerous studies have shown that microbial metabolites, which represent the products of bacteria in the human gut, play a key role in shaping cancer risk and response to treatment.…
Flexible aggregation of compositional predictors with shared effects for microbiome association analysis
Satabdi Saha, Liangliang Zhang, Michele Guindani +2
Ongoing advancements in microbiome profiling have provided unprecedented insights into the molecular dynamics of microbial communities, sparking a surge of interest in uncovering t…
CAT: a conditional association test for microbiome data using a leave-out approach
Yushu Shi, Liangliang Zhang, Kim-Anh Do +2
In microbiome analysis, researchers often seek to identify taxonomic features associated with an outcome of interest. However, microbiome features are intercorrelated and linked by…