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

ABSTRACT: 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. Recent studies show that gut microbiome compositions play a vital role in disease development, and it is of great interest to cluster patients according to their microbial profiles. There are a variety of beta diversity measures to quantify the dissimilarity between the compositions of different samples for clustering. However, using different beta diversity measures results in different clusters, and it is difficult to make a choice among them. Considering microbial compositions from 16S rRNA

SUBMITTER: Chen B 

PROVIDER: S-EPMC7891732 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature