Microbial trend analysis for common dynamic trend, group comparison, and classification in longitudinal microbiome study

• Published in: BMC genomics Vol. 22; no. 1; pp. 1 - 16
• Main Authors: Wang, Chan, Hu, Jiyuan, Blaser, Martin J., Li, Huilin
• Format: Journal Article
• Language: English
• Published: London BioMed Central Ltd 15.09.2021; BioMed Central; BMC
• Subjects: Algorithms; Classification; Composition; Data analysis; Disease; Dynamic; Genetic aspects; Genomics; High dimensionality; Hypothesis testing; Identification and classification; Indexing; Inflammatory bowel disease; Longitudinal method; Longitudinal microbiome; Longitudinal studies; Methodology; Methods; Microbiological research; Microbiomes; Microbiota; Microbiota (Symbiotic organisms); Microorganisms; Performance evaluation; Phenotypes; Phylogeny; Power; Principal components analysis; Simulation; Taxa; Taxonomy; Trend analysis; Trends; United States

The human microbiome is inherently dynamic and its dynamic nature plays a critical role in maintaining health and driving disease. With an increasing number of longitudinal microbiome studies, scientists are eager to learn the comprehensive characterization of microbial dynamics and their implicatio...