有哪些信誉好的足球投注网站multivariate approach for studying interactions between environmental variables and microbial communities多变量方法研究环境变量之间的相互作用和微生物群落.pdfVIP
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multivariate approach for studying interactions between environmental variables and microbial communities多变量方法研究环境变量之间的相互作用和微生物群落
Multivariate Approach for Studying Interactions between Environmental Variables and Microbial Communities 1 2 3 1 ´ 1 Xinhui Wang , Marinus J. C. Eijkemans , Jacco Wallinga , Giske Biesbroek , Krzysztof Trzcinski , 1 1 Elisabeth A. M. Sanders , Debby Bogaert * 1 Department of Pediatric Immunology and Infectious Diseases, UMC Utrecht, Utrecht, The Netherlands, 2 Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht, The Netherlands, 3 Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands Abstract To understand the role of human microbiota in health and disease, we need to study effects of environmental and other epidemiological variables on the composition of microbial communities. The composition of a microbial community may depend on multiple factors simultaneously. Therefore we need multivariate methods for detecting, analyzing and visualizing the interactions between environmental variables and microbial communities. We provide two different approaches for multivariate analysis of these complex combined datasets: (i) We select variables that correlate with overall microbiota composition and microbiota members that correlate with the metadata using canonical correlation analysis, determine independency of the observed correlations in a multivariate regression analysis, and visualize the effect size and direction of the observed correlations using heatmaps; (ii) We select variables and microbiota members using univariate or bivariate regression analysis, followed by multivariate regres
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