MIMIX: A Bayesian Mixed-Effects Model for Microbiome Data From Designed Experiments
MIMIX：用于设计实验微生物组数据的贝叶斯混合效应模型
Recent advances in bioinformatics have made high-throughput microbiome data widely available, and new statistical tools are required to maximize the information gained from these data. For example, analysis of high-dimensional microbiome data from designed experiments remains an open area in microbiome research. Contemporary analyses work on metrics that summarize collective properties of the microbiome, but such reductions preclude inference on the fine-scale effects of…