Associating microbiome composition with environmental covariates using generalized UniFrac distances
نویسندگان
چکیده
منابع مشابه
Associating microbiome composition with environmental covariates using generalized UniFrac distances
MOTIVATION The human microbiome plays an important role in human disease and health. Identification of factors that affect the microbiome composition can provide insights into disease mechanism as well as suggest ways to modulate the microbiome composition for therapeutical purposes. Distance-based statistical tests have been applied to test the association of microbiome composition with enviro...
متن کاملPERMANOVA-S: association test for microbial community composition that accommodates confounders and multiple distances
MOTIVATION Recent advances in sequencing technology have made it possible to obtain high-throughput data on the composition of microbial communities and to study the effects of dysbiosis on the human host. Analysis of pairwise intersample distances quantifies the association between the microbiome diversity and covariates of interest (e.g. environmental factors, clinical outcomes, treatment gro...
متن کاملDistances Between Composition Operators
Composition operators Cφ induced by a selfmap φ of some set S are operators acting on a space consisting of functions on S by composition to the right with φ, that is Cφf = f ◦ φ. In this paper, we consider the Hilbert Hardy spaceH2 on the open unit disk and find exact formulas for distances ‖Cφ−Cψ‖ between composition operators. The selfmaps φ and ψ involved in those formulas are constant, inn...
متن کاملBayesian Model Averaging for Generalized Linear Models with Missing Covariates
We address the problem of estimating generalized linear models (GLMs) when the outcome of interest is always observed, the values of some covariates are missing for some observations, but imputations are available to fill-in the missing values. Under certain conditions on the missing-data mechanism and the imputation model, this situation generates a trade-off between bias and precision in the ...
متن کاملBayesian Functional Generalized Additive Models with Sparsely Observed Covariates
The functional generalized additive model (FGAM) was recently proposed in McLean et al. (2012) as a more flexible alternative to the common functional linear model (FLM) for regressing a scalar on functional covariates. In this paper, we develop a Bayesian version of FGAM for the case of Gaussian errors with identity link function. Our approach allows the functional covariates to be sparsely ob...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Bioinformatics
سال: 2012
ISSN: 1460-2059,1367-4803
DOI: 10.1093/bioinformatics/bts342