Comparison of beta diversity measures in clustering the high-dimensional microbial data

• Published in: PloS one Vol. 16; no. 2; p. e0246893
• Main Authors: Chen, Biyuan, He, Xueyi, Pan, Bangquan, Zou, Xiaobing, You, Na
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 18.02.2021; Public Library of Science (PLoS)
• Subjects: Analysis; Biology and Life Sciences; Child development; Clustering; Composition; Computer and Information Sciences; Data analysis; Disease; Ecology and Environmental Sciences; Editing; Funding; Heterogeneity; Intestinal microflora; Mathematical analysis; Mathematics; Medical research; Medicine and Health Sciences; Methods; Microbiological research; Microbiomes; Microbiota (Symbiotic organisms); Microorganisms; Next-generation sequencing; Phylogenetics; Physical Sciences; Precision medicine; Research and Analysis Methods; Risk analysis; Risk factors; RNA sequencing; rRNA 16S; Social Sciences; Taxonomy; Vectors (mathematics); China

The heterogeneity of disease is a major concern in medical research and is commonly characterized as subtypes with different pathogeneses exhibiting distinct prognoses and treatment effects. The classification of a population into homogeneous subgroups is challenging, especially for complex diseases...