Generalized linear mixed model for segregation distortion analysis [PDF]
BMC Genetics, 2011 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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FedGMMAT: Federated generalized linear mixed model association tests. [PDF]
PLoS Computational BiologyIncreasing 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]
Computational and Structural Biotechnology Journal, 2022 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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Predictive Modeling of Microbiome Data Using a Phylogeny-Regularized Generalized Linear Mixed Model [PDF]
Frontiers in Microbiology, 2018 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 Distance-Based Kernel Association Test Based on the Generalized Linear Mixed Model for Correlated Microbiome Studies [PDF]
Frontiers in Genetics, 2019 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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An efficient hierarchical generalized linear mixed model for mapping QTL of ordinal traits in crop cultivars. [PDF]
PLoS ONE, 2013 Many important phenotypic traits in plants are ordinal. However, relatively little is known about the methodologies for ordinal trait association studies.
Jian-Ying Feng +5 more
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Innovative statistical method for longitudinal and hierarchical data modeling: the GMEXGBoost method [PDF]
BMC Medical Research MethodologyIntroduction and objectives Over recent decades, the exponential growth of data, especially in healthcare, has necessitated advanced analytical methods. Conventional machine learning algorithms often assume independence among data points, limiting their ...
Fariba Asadi +4 more
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Text Data Analysis Using Generalized Linear Mixed Model and Bayesian Visualization
Axioms, 2022 Many parts of big data, such as web documents, online posts, papers, patents, and articles, are in text form. So, the analysis of text data in the big data domain is an important task.
Sunghae Jun
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Implementation of generalized estimating equations and mixed linear models in Python [PDF]
Yixue xinzhi zazhi, 2022 Objective Explore the implementation of generalized estimation equations (GEE) and mixed linear models (MLM) in longitudinal data analysis using Python software, and expand its application in statistical analysis.Methods GEE and MLM were constructed by ...
Kui-Zhuang JIAO +5 more
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Genotype Selection for Grain Yield of Sorghum through Generalized Linear Mixed Model
Agronomy, 2023 The classical model only provides a correct analysis if all the effects are fixed. For experiments that include fixed and random effects, the general linear mixed model is appropriate for handling the non-normal distributed response variables. The aim of
Mulugeta Tesfa +4 more
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