Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions.

ABSTRACT: The human microbiome has emerged as a central research topic in human biology and biomedicine. Current microbiome studies generate high-throughput omics data across different body sites, populations, and life stages. Many of the challenges in microbiome research are similar to other high-throughput studies, the quantitative analyses need to address the heterogeneity of data, specific statistical properties, and the remarkable variation in microbiome composition across individuals and body sites. This has led to a broad spectrum of statistical and machine learning challenges that range from study design, data processing, and standardization to analysis, modeling, cross-study comparison, prediction, data science ecosystems, and reproducible reporting. Nevertheless, although many statistics a

SUBMITTER: Moreno-Indias I 

PROVIDER: S-EPMC7937616 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature