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Journal of the American Statistical Association Volume 115, 2020 - Issue 530
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Applications and Case Studies

Bayesian Graphical Compositional Regression for Microbiome Data

Jialiang MaoDepartment of Statistical Science, Duke University, Durham, NCView further author information
,
Yuhan ChenDepartment of Statistical Science, Duke University, Durham, NCView further author information
&
Li MaDepartment of Statistical Science, Duke University, Durham, NCCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-0159-3296View further author information
ORCID Icon
Pages 610-624 | Received 31 Dec 2017, Accepted 03 Jul 2019, Published online: 28 Aug 2019

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Francesco Denti, Federico Camerlenghi, Michele Guindani & Antonietta Mira. (2023) A Common Atoms Model for the Bayesian Nonparametric Analysis of Nested Data. Journal of the American Statistical Association 118:541, pages 405-416.
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Articles from other publishers (7)

Shuangjie Zhang, Yuning Shen, Irene A. Chen & Juhee Lee. (2023) Bayesian modeling of interaction between features in sparse multivariate count data with application to microbiome study. The Annals of Applied Statistics 17:3.
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Patrick LeBlanc & Li Ma. (2023) Microbiome Subcommunity Learning with Logistic-Tree Normal Latent Dirichlet Allocation. Biometrics 79:3, pages 2321-2332.
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Jialiang Mao & Li Ma. (2022) Dirichlet-tree multinomial mixtures for clustering microbiome compositions. The Annals of Applied Statistics 16:3.
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Nazema Y. Siddiqui, Li Ma, Linda Brubaker, Jialiang Mao, Carter Hoffman, Erin M. Dahl, Zhuoqun Wang & Lisa Karstens. (2022) Updating Urinary Microbiome Analyses to Enhance Biologic Interpretation. Frontiers in Cellular and Infection Microbiology 12.
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Kurtis Shuler, Samuel Verbanic, Irene A. Chen & Juhee Lee. (2021) A Bayesian Nonparametric Analysis for Zero-Inflated Multivariate Count Data with Application to Microbiome Study. Journal of the Royal Statistical Society Series C: Applied Statistics 70:4, pages 961-979.
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Matteo Calgaro, Chiara Romualdi, Levi Waldron, Davide Risso & Nicola Vitulo. (2020) Assessment of statistical methods from single cell, bulk RNA-seq, and metagenomics applied to microbiome data. Genome Biology 21:1.
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Yinglin Xia. 2020. The Microbiome in Health and Disease. The Microbiome in Health and Disease 309 491 .

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