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Privacy-preserving construction of generalized linear mixed model for biomedical computation

MOTIVATION: The generalized linear mixed model (GLMM) is an extension of the generalized linear model (GLM) in which the linear predictor takes random effects into account. Given its power of precisely modeling the mixed effects from multiple sources of random variations, the method has been widely...

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Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Cyhoeddwyd yn:Bioinformatics
Prif Awduron: Zhu, Rui, Jiang, Chao, Wang, Xiaofeng, Wang, Shuang, Zheng, Hao, Tang, Haixu
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: Oxford University Press 2020
Pynciau:
Mynediad Ar-lein:https://ncbi.nlm.nih.gov/pmc/articles/PMC7355231/
https://ncbi.nlm.nih.gov/pubmed/32657380
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa478
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