Orthogonal Decomposition of the Genetic Variance for Epistatic Traits Under Linkage Disequilibrium—Applications to the Analysis of Bateson-Dobzhansky-Müller Incompatibilities and Sign Epistasis [PDF]
Frontiers in Genetics, 2019 The one-century-old theory of orthogonal genetic variance decomposition originated the field of quantitative genetics and has kept on being improved ever since.
José M. Álvarez-Castro +1 more
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Bias-variance decomposition in Genetic Programming
Open Mathematics, 2016 We study properties of Linear Genetic Programming (LGP) through several regression and classification benchmarks. In each problem, we decompose the results into bias and variance components, and explore the effect of varying certain key parameters on the
Kowaliw Taras, Doursat René
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Associations of phenotypic age acceleration, genetic risk, and lifestyle with chronic digestive diseases: A large-scale longitudinal cohort study [PDF]
The Journal of Nutrition, Health and AgingBackground: Phenotypic age acceleration (PhenoAgeAccel) is a promising biological aging metric, but its associations with chronic digestive disease risk are unclear.
Shuai Xiang +6 more
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The etiological relationship between the general factors of psychopathology and personality; a longitudinal twin study from adolescence into young adulthood [PDF]
Frontiers in PsychologyBackgroundMental disorders and normal personality are interconnected domains. Recent studies highlight the dimensional and hierarchical nature of psychopathology and personality, focusing on their general factor levels.
Trine Waaktaar +2 more
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International Journal of Epidemiology, 2023 Abstract Background The extent to which known and unknown factors explain how much people of the same age differ in disease risk is fundamental to epidemiology. Risk factors can be correlated in relatives, so familial aspects of risk (genetic and non-genetic) must be considered.
John L Hopper +14 more
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Restricted maximum-likelihood method for learning latent variance components in gene expression data with known and unknown confounders [PDF]
, 2021 Random effect models are popular statistical models for detecting and correcting spurious sample correlations due to hidden confounders in genome-wide gene expression data.
Malik, Muhammad Ammar, Michoel, Tom
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Multiallelic models of genetic effects and variance decomposition in non-equilibrium populations [PDF]
Genetica, 2011 Quantitative genetics stems from the theoretical models of genetic effects, which are re-parameterizations of the genotypic values into parameters of biological (genetic) relevance. Different formulations of genetic effects are adequate to address different subjects.
Álvarez Castro, José María +1 more
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Variance decomposition of MRI-based covariance maps using genetically informative samples and structural equation modeling [PDF]
NeuroImage, 2009 The role of genetics in driving intracortical relationships is an important question that has rarely been studied in humans. In particular, there are no extant high-resolution imaging studies on genetic covariance. In this article, we describe a novel method that combines classical quantitative genetic methodologies for variance decomposition with ...
J Eric, Schmitt +9 more
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Assessing variability and detecting the effective traits on yield of chickpea (Cicer arietinum L.) promising lines under drought stress condition [PDF]
پژوهشهای حبوبات ایران, 2020 IntroductionChickpea is one of the most important pulses in the world and it plays a key role in feeding of people in Iran. Iran is one of the original centers of chickpea.
Sayyed Saeed Moosavi +3 more
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Machines, 2022 Fault diagnosis of rolling bearings can be a serious challenge, as rolling bearings often work under complex conditions and their vibration signals are typically nonlinear and nonstationary.
Can Hu +4 more
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