A Bayesian Joint Model for Compositional Mediation Effect Selection in Microbiome Data
微生物组数据中组成型中介效应选择的贝叶斯联合模型
Analyzing multivariate count data generated by high-throughput sequencing technology in microbiome research studies is challenging due to the high-dimensional and compositional structure of the data and overdispersion. In practice, researchers are often interested in investigating how the microbiome may mediate the relation between an assigned treatment and an observed phenotypic response. Existing approaches designed for compositional mediation analysis are unable to…