B1004
Title: DBA: Differential Bimodal Analysis for microbiome data
Authors: Pei Wang - Bowling Green State University (United States) [presenting]
Abstract: Numerous efforts have been undertaken to characterize the variations in microbial abundance across different biological conditions. Researchers have shown significant interest in zero-inflated models to address the unique properties of microbiome sequencing data, specifically the presence of excess zeros. However, in addition to zero inflation, it is plausible that a small abundance near zero coexists with a larger abundance. To tackle this phenomenon, a mixed negative binomial model is proposed. To validate the efficacy of the proposed model, comprehensive simulation studies are conducted and real datasets are analyzed.
