Bayesian compositional regression with structured priors for microbiome feature selection
暂无分享,去创建一个
Robert R Jenq | Kim-Anh Do | Christine B. Peterson | Yushu Shi | Christine B Peterson | Liangliang Zhang | K. Do | R. Jenq | C. Peterson | Yushu Shi | Liangliang Zhang
[1] M. Yuan,et al. Model selection and estimation in regression with grouped variables , 2006 .
[2] Yan Boucher,et al. Use of 16S rRNA and rpoB Genes as Molecular Markers for Microbial Ecology Studies , 2006, Applied and Environmental Microbiology.
[3] Patrice D Cani,et al. Gut microbiota-mediated inflammation in obesity: a link with gastrointestinal cancer , 2018, Nature Reviews Gastroenterology & Hepatology.
[4] T. F. Hansen,et al. Phylogenies and the Comparative Method: A General Approach to Incorporating Phylogenetic Information into the Analysis of Interspecific Data , 1997, The American Naturalist.
[5] M. J. Bayarri,et al. Criteria for Bayesian model choice with application to variable selection , 2012, 1209.5240.
[6] Hongyu Zhao,et al. Structured subcomposition selection in regression and its application to microbiome data analysis , 2017 .
[7] S. Ollier,et al. Euclidean nature of phylogenetic distance matrices. , 2011, Systematic biology.
[8] J. Aitchison,et al. Log contrast models for experiments with mixtures , 1984 .
[9] Xianyang Zhang,et al. Predictive Modeling of Microbiome Data Using a Phylogeny-Regularized Generalized Linear Mixed Model , 2018, Front. Microbiol..
[10] Hongzhe Li,et al. Variable selection in regression with compositional covariates , 2014 .
[11] R. Knight,et al. The Human Microbiome Project , 2007, Nature.
[12] Martin Hartmann,et al. Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities , 2009, Applied and Environmental Microbiology.
[13] Jean M. Macklaim,et al. Microbiome Datasets Are Compositional: And This Is Not Optional , 2017, Front. Microbiol..
[14] Kenichiro Takahashi,et al. Comparison of the gut microbial community between obese and lean peoples using 16S gene sequencing in a Japanese population , 2016, Journal of clinical biochemistry and nutrition.
[15] R. Tibshirani,et al. The solution path of the generalized lasso , 2010, 1005.1971.
[16] Mihai Pop,et al. A perspective on 16S rRNA operational taxonomic unit clustering using sequence similarity , 2016, npj Biofilms and Microbiomes.
[17] Anru R. Zhang,et al. Regression Analysis for Microbiome Compositional Data , 2016, 1603.00974.
[18] J. Berger,et al. Optimal predictive model selection , 2004, math/0406464.
[19] Marina Vannucci,et al. An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data , 2017, BMC Bioinformatics.
[20] E. Zoetendal,et al. Human intestinal microbiota composition is associated with local and systemic inflammation in obesity , 2013, Obesity.
[21] F. Bushman,et al. Linking Long-Term Dietary Patterns with Gut Microbial Enterotypes , 2011, Science.
[22] Rob Knight,et al. Defining the human microbiome. , 2012, Nutrition reviews.
[23] Qiyun Zhu,et al. Methods for phylogenetic analysis of microbiome data , 2018, Nature Microbiology.
[24] M. C. Jones,et al. The Statistical Analysis of Compositional Data , 1986 .
[25] Hongzhe Li. Microbiome, Metagenomics, and High-Dimensional Compositional Data Analysis , 2015 .
[26] G. Mateu-Figueras,et al. Isometric Logratio Transformations for Compositional Data Analysis , 2003 .
[27] F. Bäckhed,et al. Host-Bacterial Mutualism in the Human Intestine , 2005, Science.
[28] J. Ibrahim,et al. Bayesian Models for Gene Expression With DNA Microarray Data , 2002 .
[29] N. Zhang,et al. Bayesian Variable Selection in Structured High-Dimensional Covariate Spaces With Applications in Genomics , 2010 .