ZINQ-L: a zero-inflated quantile approach for differential abundance analysis of longitudinal microbiome data is a research paper published in Frontiers in Genetics (2025). On theSindex it has a DataRank of 0. It has been cited 1 time.
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National Institute of Allergy and Infectious Diseases
Grant: K23 AI124464 R21 AI154236
National Institute of General Medical Sciences
Grant: R01 GM147162 R01 GM151301
National Heart, Lung, and Blood Institute
Grant: R01 HL155417
National Institutes of Health
Grant: 5R01GM151301-02
Statistical Methods for Enhanced Mapping of Microbiome Relationships
National Institutes of Health
Grant: 5K23AI124464-04
Gut Microbiome, Acute Rejection, and Tacrolimus Dosing in Kidney Transplantation
National Institutes of Health
Grant: 1R01GM155734-01
Robust Statistical Methods for Longitudinal Microbiome Studies
National Institutes of Health
Grant: 5R01GM147162-03
Statistical methods for analyzing messy microbiome data: detection of hidden artifacts and robust modeling approaches
National Institutes of Health
Grant: 6R01HL155417-02
Statistical Methods for Large Scale Microbiome Studies of Cardiovascular Disease Risk
National Institutes of Health
Grant: 5R21AI154236-02
Statistical methods for integrative analysis of multiple microbiome datasets
NIAID NIH HHS
Grant: K23 AI124464
NIGMS NIH HHS
Grant: R01 GM155734
NIAID NIH HHS
Grant: R21 AI154236
NIGMS NIH HHS
Grant: R01 GM147162
NIGMS NIH HHS
Grant: R01 GM151301
FWCI
0.41
Citation Percentile
0.5%
Citation Trend
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