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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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| Publicado no: | Bioinformatics |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2020
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| Assuntos: | |
| Acesso em linha: | 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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