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Hypothesis testing and statistical analysis of microbiome

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 microbio...

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Detalles Bibliográficos
Autores principales: Xia, Yinglin, Sun, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Chongqing Medical University 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6128532/
https://www.ncbi.nlm.nih.gov/pubmed/30197908
http://dx.doi.org/10.1016/j.gendis.2017.06.001
Descripción
Sumario: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.