FedGMMAT: Federated generalized linear mixed model association tests is a research paper published in PLoS Computational Biology (2024). On theSindex it has a DataRank of 0. It has been cited 8 times.
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National Institute of Health
Grant: R01AG066749
National Institute of Health
Grant: R01LM013712
National Institute of Health
Grant: U01TR002062
National Science Foundation
Grant: 2124789
Collaborative Research: SaTC: CORE: Medium: PREMED: Privacy-Preserving and Robust Computational Phenotyping using Multisite EHR Data
NIH
Grant: R01HG012604
National Institutes of Health
Grant: 5U01TR002062-02
Open Health Natural Language Processing Collaboratory
National Institutes of Health
Grant: 5R01LM013712-08
Decentralized differentially-private methods for dynamic data release and analysis
National Institutes of Health
Grant: 5R01AG066749-04
Finding combinatorial drug repositioning therapy for Alzheimer's disease and related dementias
National Institutes of Health
Grant: 1R01HG012604-01A1
Secure Outsourcing of Genotype Imputation for Privacy-aware Genomic Analysis (RO1HE21)
The University of Texas Health Science Center Houston
FWCI
1.43
Citation Percentile
0.8%
Citation Trend
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Sustainable Development Goals