Hypothesis Testing and Statistical Analysis of Microbiome
- PMID: 30197908
- PMCID: PMC6128532
- DOI: 10.1016/j.gendis.2017.06.001
Hypothesis Testing and Statistical Analysis of Microbiome
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.
Keywords: IBD; Vitamin D receptor; bioinformatics; biostatistics; cancer; diet; dysbiosis; hypothesis testing; inflammation; microbiome; obesity; statistical methods and models.
Conflict of interest statement
Conflict of Interests The authors declare no competing financial interests.
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