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微生物组的假设检验与统计分析

Hypothesis Testing and Statistical Analysis of Microbiome.

作者信息

Xia Yinglin, Sun Jun

机构信息

Division of Academic Internal Medicine and Geriatrics, Department of Medicine University of Illinois at Chicago, Chicago, IL.

Division of Gastroenterology and Hepatology, Department of Medicine University of Illinois at Chicago, Chicago, IL.

出版信息

Genes Dis. 2017 Sep;4(3):138-148. doi: 10.1016/j.gendis.2017.06.001. Epub 2017 Jun 23.

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.

摘要

2008年人类微生物组计划启动后,已开发出各种用于数据分析的生物统计学和生物信息学工具以及计算方法,并应用于微生物组研究。在这篇综述与展望中,我们讨论肠道微生物组研究中的研究和统计假设,重点关注宿主、微生物组和环境之间复杂关系背后的机制概念。我们回顾了当前可用的统计工具,并突出了新开发的统计方法和模型的最新进展。鉴于生物统计学方法和工具目前面临的挑战和局限性,我们讨论了微生物组研究统计方法和模型开发的未来方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3680/6147163/1aac6ead7e2c/gr1.jpg

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