most citedA Bayesian Joint Model for Compositional Mediation Effect Selection in Microbiome Data

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

stat.AP2022★ 4 cited

A Bayesian Joint Model for Compositional Mediation Effect Selection in Microbiome Data

Jingyan Fu, Matthew D. Koslovsky, Andreas M. Neophytou +1

Analyzing multivariate count data generated by high-throughput sequencing technology in microbiome research studies is challenging due to the high-dimensional and compositional str…