Collection
Special Issue: Statistics in Microbiome and Metagenomics
- Submission status
- Closed
This Special Issue of Microbiome and Metagenomics in Statistics in Biosciences consists of eight papers on various topics and covers the latest development of statistical methods in analyzing human microbiome data.
Editors
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Huilin Li
PhD, New York University, New York, NY, USA
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Hongzhe Li
PhD, University of Pennsylvania, Philadelphia, USA
Articles (9 in this collection)
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Modeling Longitudinal Microbiome Compositional Data: A Two-Part Linear Mixed Model with Shared Random Effects
Authors (first, second and last of 6)
- Yongli Han
- Courtney Baker
- Danping Liu
- Content type: OriginalPaper
- Published: 11 March 2021
- Pages: 243 - 266
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Introduction to Special Issue on Statistics in Microbiome and Metagenomics
Authors
- Huilin Li
- Hongzhe Li
- Content type: EditorialNotes
- Published: 10 March 2021
- Pages: 197 - 199
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An Approach to Analyze Longitudinal Zero-Inflated Microbiome Count Data Using Two-Stage Mixed Effects Models
Authors
- Jian Wang
- Cielito C. Reyes-Gibby
- Sanjay Shete
- Content type: OriginalPaper
- Published: 01 October 2020
- Pages: 267 - 290
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Joint Microbial and Metabolomic Network Estimation with the Censored Gaussian Graphical Model
Authors
- Jing Ma
- Content type: OriginalPaper
- Open Access
- Published: 21 September 2020
- Pages: 351 - 372
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Regression Models for Compositional Data: General Log-Contrast Formulations, Proximal Optimization, and Microbiome Data Applications
Authors
- Patrick L. Combettes
- Christian L. Müller
- Content type: OriginalPaper
- Open Access
- Published: 19 June 2020
- Pages: 217 - 242
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Microbial Interaction Network Estimation via Bias-Corrected Graphical Lasso
Authors
- Duo Jiang
- Thomas Sharpton
- Yuan Jiang
- Content type: OriginalPaper
- Open Access
- Published: 04 June 2020
- Pages: 329 - 350
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Testing for Mediation Effect with Application to Human Microbiome Data
Authors (first, second and last of 4)
- Haixiang Zhang
- Jun Chen
- Lei Liu
- Content type: OriginalPaper
- Published: 27 July 2019
- Pages: 313 - 328
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Robust and Powerful Differential Composition Tests for Clustered Microbiome Data
Authors
- Zheng-Zheng Tang
- Guanhua Chen
- Content type: OriginalPaper
- Published: 25 July 2019
- Pages: 200 - 216