Statistical Approaches, Applications, and Software for Longitudinal Microbiome Data Analysis and Microbiome Multi-Omics Data Integration

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Statistical Approaches, Applications, and Software for Longitudinal Microbiome Data Analysis and Microbiome Multi-Omics Data Integration is written by Yuan Jiang and published by Frontiers Media SA. It's available with International Standard Book Number or ISBN identification 2832567592 (ISBN 10) and 9782832567593 (ISBN 13).

Statistical methods play a pivotal role in analyzing longitudinal microbiome data and integrating multi-omics data to extract meaningful insights from complex microbial communities. This Research Topic aims to highlight the latest advancements in statistical methodologies specifically tailored for longitudinal microbiome data analysis and the integration of multi-omics data. It will also provide a platform to showcase innovative statistical applications and software, and novel scientific findings in the field of microbiome research. The purpose of this Research Topic is to foster the exchange of knowledge and ideas among statisticians, bioinformaticians, and researchers working on longitudinal microbiome data analysis and microbiome multi-omics data integration. By showcasing state-of-the-art statistical methodologies and innovative applications, this special issue will contribute to the development of novel statistical frameworks, promote software development and sharing, and advance our understanding of the complex dynamics and interactions within microbiome and between microbiome and other omics.