Testing microbiome association using integrated quantile regression models.
Saved in:
| Title: | Testing microbiome association using integrated quantile regression models. |
|---|---|
| Authors: | Wang T; Center for Statistical Science, Tsinghua University, Beijing 100084, China.; Department of Industrial Engineering, Tsinghua University, Beijing 100084, China., Ling W; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA., Plantinga AM; Department of Mathematics and Statistics, Williams College, Williamstown, MA 01267, USA., Wu MC; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA., Zhan X; Department of Biostatistics, School of Public Health, Peking University, Beijing 100191, China.; Beijing International Center for Mathematical Research, Peking University, Beijing 100871, China. |
| Source: | Bioinformatics (Oxford, England) [Bioinformatics] 2022 Jan 03; Vol. 38 (2), pp. 419-425. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!
