A semiparametric model for between‐subject attributes: Applications to beta‐diversity of microbiome data-Reference-Cited by-同舟云学术

A semiparametric model for between‐subject attributes: Applications to beta‐diversity of microbiome data

Published:2021-06-08 Issue: Volume: Page:
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Liu J.¹²^ORCID,Zhang Xinlian¹,Chen T.³,Wu T.¹²,Lin T.¹^ORCID,Jiang L.¹⁴,Lang S.⁵,Liu L.¹,Natarajan L.¹^ORCID,Tu J.X.⁶,Kosciolek T.⁷⁸,Morton J.⁹,Nguyen T.T.¹⁰²,Schnabl B.⁵,Knight R.⁷¹¹¹²⁴,Feng C.¹³,Zhong Y.¹⁴,Tu X.M.¹²

Affiliation:

1. Department of Family Medicine and Public Health UC San Diego San Diego California USA

2. Stein Institute for Research on Aging UC San Diego San Diego California USA

3. Department of Mathematics University of Toledo Toledo Ohio USA

4. Center for Microbiome Innovation UC San Diego San Diego California USA

5. Department of Medicine UC San Diego San Diego California USA

6. Physical Medicine and Rehabilitation University of Virginia Health System Charlottesville Virginia USA

7. Department of Pediatrics UC San Diego San Diego California USA

8. Małopolska Centre of Biotechnology Jagiellonian University Krakow Poland

9. Center for Computational Biology Flatiron Institute, Simons Foundation New York New York USA

10. Department of Psychiatry UC San Diego San Diego California USA

11. Department of Computer Science and Engineering UC San Diego San Diego California USA

12. Department of Bioengineering UC San Diego San Diego California USA

13. Department of Biostatistics and Computational Biology University of Rochester Rochester New York USA

14. Department of Biostatistics University of Michigan Ann Arbor Michigan USA

Funder

California Department of Fish and Game

American Association for the Study of Liver Diseases

National Science Foundation

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13487

Reference25 articles.

1. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

2. Encyclopedia of Systems Biology

3. The gut microbiome: Relationships with disease and opportunities for therapy

4. Rcpp: SeamlessRandC++Integration

5. False discovery proportion estimation by permutations: confidence for significance analysis of microarrays

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A doubly robust estimator for the Mann Whitney Wilcoxon rank sum test when applied for causal inference in observational studies;Journal of Applied Statistics;2024-05-15

2. A new paradigm for high‐dimensional data: Distance‐based semiparametric feature aggregation framework via between‐subject attributes;Scandinavian Journal of Statistics;2023-11-21

3. Deciphering the ‘gut–brain axis’ through microbiome diversity;General Psychiatry;2023-10

4. Metagenetic Analysis of the Pregnant Microbiome in Horses;Animals;2023-06-15

5. Effects of formic acid and glycerol monolaurate on weanling pig growth performance, fecal consistency, fecal microbiota, and serum immunity;Translational Animal Science;2022-10-01