FedGMMAT: Federated generalized linear mixed model association tests. [PDF]
Increasing genetic and phenotypic data size is critical for understanding the genetic determinants of diseases. Evidently, establishing practical means for collaboration and data sharing among institutions is a fundamental methodological barrier for ...
Wentao Li +3 more
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Detecting differentially expressed circular RNAs from multiple quantification methods using a generalized linear mixed model [PDF]
Finding differentially expressed circular RNAs (circRNAs) is instrumental to understanding the molecular basis of phenotypic variation between conditions linked to circRNA-involving mechanisms.
Alessia Buratin +3 more
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Modelos de predição para sobrevivência de plantas de Eucalyptus grandis Prediction models of Eucalyptus grandis plant survival [PDF]
Objetivou-se com este trabalho comparar modelos de predição de plantas sobreviventes de Eucalyptus grandis. Utilizaram-se os seguintes modelos: modelo linear misto com os dados transformados, utilizando-se as transformações angular e BOX-COX; modelo ...
Telde Natel Custódio, Décio Barbin
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Generalized linear mixed model for segregation distortion analysis [PDF]
Background Segregation distortion is a phenomenon that the observed genotypic frequencies of a locus fall outside the expected Mendelian segregation ratio. The main cause of segregation distortion is viability selection on linked marker loci.
Zhan Haimao, Xu Shizhong
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Predictive Modeling of Microbiome Data Using a Phylogeny-Regularized Generalized Linear Mixed Model [PDF]
Recent human microbiome studies have revealed an essential role of the human microbiome in health and disease, opening up the possibility of building microbiome-based predictive models for individualized medicine.
Jian Xiao +6 more
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A Generalized Linear Mixed Model Approach to Assess Emerald Ash Borer Diffusion
The Asian Emerald Ash Borer beetle (EAB, Agrilus planipennis Fairmaire) can cause damage to all species of Ash trees (Fraxinus), and rampant, unchecked infestations of this insect can cause significant damage to forests. It is thus critical to assess and
Yuan Zhong +5 more
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POISSON COKRIGING AS A GENERALIZED LINEAR MIXED MODEL. [PDF]
It is often of interest to predict spatially correlated count outcomes that follow a Poisson distribution. For example, in the environmental sciences we may want to predict pollen counts using temperature or precipitation data as auxiliary variables. To predict a Poisson outcome variable in the presence of an auxiliary variable, Poisson cokriging as a ...
Smith LM, Stroup WW, Marx DB.
europepmc +4 more sources
Bayesian Model Selection for Generalized Linear Mixed Models
AbstractWe propose a Bayesian model selection approach for generalized linear mixed models (GLMMs). We consider covariance structures for the random effects that are widely used in areas such as longitudinal studies, genome-wide association studies, and spatial statistics.
Shuangshuang Xu +3 more
openaire +5 more sources
A Distance-Based Kernel Association Test Based on the Generalized Linear Mixed Model for Correlated Microbiome Studies [PDF]
Researchers have increasingly employed family-based or longitudinal study designs to survey the roles of the human microbiota on diverse host traits of interest (e. g., health/disease status, medical intervention, behavioral/environmental factor).
Hyunwook Koh +4 more
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dPQL: a lossless distributed algorithm for generalized linear mixed model with application to privacy-preserving hospital profiling. [PDF]
Luo C +8 more
europepmc +2 more sources

