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Review Article | Open Access

Hypothesis testing and statistical analysis of microbiome

Division of Academic Internal Medicine and Geriatrics, Department of Medicine, University of Illinois at Chicago, Chicago, IL, USA
Division of Gastroenterology and Hepatology, Department of Medicine, University of Illinois at Chicago, Chicago, IL, USA

Peer review under responsibility of Chongqing Medical University.

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Abstract

After the initiation of Human Microbiome Project in 2008, various biostatistic and bioinformatic tools for data analysis and computational methods have been developed and applied to microbiome studies. In this review and perspective, we discuss the research and statistical hypotheses in gut microbiome studies, focusing on mechanistic concepts that underlie the complex relationships among host, microbiome, and environment. We review the current available statistic tools and highlight recent progress of newly developed statistical methods and models. Given the current challenges and limitations in biostatistic approaches and tools, we discuss the future direction in developing statistical methods and models for the microbiome studies.

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Genes & Diseases
Pages 138-148

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Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

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Cite this article:
Xia Y, Sun J. Hypothesis testing and statistical analysis of microbiome. Genes & Diseases, 2017, 4(3): 138-148. https://doi.org/10.1016/j.gendis.2017.06.001

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Received: 10 April 2017
Accepted: 09 June 2017
Published: 23 June 2017
© 2017, Chongqing Medical University.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).