Statistical Methods for Microbiome Analysis: A brief review

TL;DR

This paper reviews statistical techniques used in microbiome data analysis, emphasizing the importance of robust methods for understanding microbial communities amid global health challenges.

Contribution

It provides a comprehensive overview of statistical methods tailored for microbiome analysis, highlighting recent advances and their applications.

Findings

Summarizes key statistical techniques for microbiome data analysis

Highlights the importance of robust statistical frameworks

Discusses applications in global health contexts

Abstract

Recent attacks of various viruses with having deep and extensive impact at a global scale has warranted that microbiome be studied extensively and in a robust analytic framework. Microbiome typically refers to the collective genomes of such organisms, although it could also refer to the collection of the organisms by themselves. Here we provide an overview of statistical techniques that are useful in analysing such data.