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stat.ME2025
Sparse Bayesian Partially Identified Models for Sequence Count Data
Won Gu, Francesca Chiaromonte, Justin D. Silverman
In genomics, differential abundance and expression analyses are complicated by the compositional nature of sequence count data, which reflect only relative-not absolute-abundances…
stat.ME2024
Scalable Bayesian Semiparametric Additive Regression Models For Microbiome Studies
Tinghua Chen, Michelle Pistner Nixon, Justin D. Silverman
Statistical analysis of microbiome data is challenging. Bayesian multinomial logistic-normal (MLN) models have gained popularity due to their ability to account for the count compo…