A Zero-Inflated Logistic Normal Multinomial Model for Extracting Microbial Compositions-Reference-Cited by-同舟云学术

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A Zero-Inflated Logistic Normal Multinomial Model for Extracting Microbial Compositions

Published:2022-03-23 Issue: Volume: Page:1-14
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Zeng Yanyan¹,Pang Daolin¹,Zhao Hongyu²³,Wang Tao¹³⁴^ORCID

Affiliation:

1. Department of Bioinformatics and Biostatistics, Shanghai Jiao Tong University, Shanghai, China

2. Department of Biostatistics, Yale University, New Haven, CT

3. SJTU-Yale Joint Center for Biostatistics and Data Science, Shanghai Jiao Tong University, Shanghai, China

4. Department of Statistics, Shanghai Jiao Tong University, Shanghai, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2022.2044827

Reference43 articles.

1. The Statistical Analysis of Compositional Data

2. The Statistical Analysis of Compositional Data

3. Statistical Interpretation of Species Composition

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2. fastCCLasso: a fast and efficient algorithm for estimating correlation matrix from compositional data;Bioinformatics;2024-05-01

3. CARE: Large Precision Matrix Estimation for Compositional Data;Journal of the American Statistical Association;2024-04-29

4. Proportionality-based association metrics in count compositional data;2023-08-24

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