Download or read book Adaptive Statistical Methods for Microbiome Association Analysis written by Kalins Banerjee and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The importance of human microbiome has been increasingly recognized, and substantial research is being conducted focusing on how microbial communities are associated with human health and diseases. These association studies not only can improve our understanding of the non-genetic components of complex traits and diseases, but also might open up an entirely new way of drug development. Here, we introduce two novel tests for microbiome association studies viz.; Adaptive multivariate two-sample test for Microbiome Differential Analysis (AMDA) and Adaptive Microbiome Association Test (AMAT). AMDA addresses microbiome differential abundance analysis, whereas AMAT provides a flexible microbiome association testing platform under the generalized linear model framework. Our research focuses explicitly on adaptive statistical multivariate analysis tools that are developed using data-driven learning approaches to suit a wide range of possible scenarios. Realizing the susceptibility of existing methods to the adverse effects of noise accumulation, the proposed two-stage adaptive testing frameworks incorporate feature selection as an intermediate step. Extensive simulation studies and real data applications demonstrate that both AMDA and AMAT are often more powerful than several competing methods while preserving the correct type I error rate.