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References from A novel support vector regression approach for detecting gene–environment interactions and predicting trait values. Local targets link to admitted publications; unresolved targets remain external evidence.
(Quasi) multitask support vector regression with heuristic hyperparameter optimization for whole-genome prediction of complex traits: a case study with carcass traits in broilers
10.1093/g3journal/jkad109 · 2023 · External reference
Unresolved reference
2022 · External reference
Omics-squared: human genomic, transcriptomic and phenotypic data for genetic analysis workshop 19
10.1186/s12919-016-0008-y · 2015 · External reference
10.1007/978-1-4614-4818-1
10.1007/978-1-4614-4818-1 · 2013 · External reference
A unified framework for cross-population trait prediction by leveraging the genetic correlation of polygenic traits
10.1016/j.ajhg.2021.03.002 · 2021 · External reference
Metagenome-wide association study and machine learning prediction of bulk soil microbiome and crop productivity
10.3389/fmicb.2017.00519 · 2017 · External reference
Incorporating gene-environment interaction in testing for association with rare genetic variants
10.1159/000363347 · 2014 · External reference
A support vector machine approach for detecting gene-gene interaction
10.1002/gepi.20272 · 2008 · External reference
Algorithm AS 155: the distribution of a linear combination of χ2 random variables
10.1111/j.1467-9876.1980.tb01530.x · 1980 · External reference
Genome-wide gene–environment interaction analysis identifies novel candidate variants for growth traits in beef cattle
10.3390/ani14111695 · 2024 · External reference
Support vector regression machines
1996 · External reference
Parameter tuning for configuring and analyzing evolutionary algorithms
10.1016/j.swevo.2011.02.001 · 2011 · External reference
Unresolved reference
1963 · External reference
Polygenic prediction via Bayesian regression and continuous shrinkage priors
10.1038/s41467-019-09718-5 · 2019 · External reference
10.1002/9781118555552
10.1002/9781118555552 · 2012 · External reference
Machine learning for predicting phenotype from genotype and environment
10.1016/j.copbio.2022.102853 · 2023 · External reference
Decision trees for the analysis of genes involved in Alzheimer’s disease pathology
10.1016/j.jtbi.2014.05.002 · 2014 · External reference
Asymptotic normality of support vector machine variants and other regularized kernel methods
10.1016/j.jmva.2011.11.004 · 2012 · External reference
Unresolved reference
1998 · External reference
10.1002/9780470740538
10.1002/9780470740538 · 2009 · External reference
Development of support vector machine-based model and comparative analysis with artificial neural network for modeling the plant tissue culture procedures: effect of plant growth regulators on somatic embryogenesis of chrysanthemum, as a case study
10.1186/s13007-019-0534-5 · 2020 · External reference
Kernel methods in machine learning
10.1214/009053607000000677 · 2008 · External reference
Genetic diversity, population structure, and genome-wide association analysis of ginkgo cultivars
10.1093/hr/uhad136 · 2023 · External reference
Tuning parameters for polygenic risk score methods using GWAS summary statistics from training data
10.1038/s41467-023-44009-0 · 2024 · External reference
Inferring gene-by-environment interactions with a Bayesian whole-genome regression model
10.1016/j.ajhg.2020.08.009 · 2020 · External reference
Combination of linkage mapping, GWAS, and GP to dissect the genetic basis of common rust resistance in tropical maize germplasm
10.3390/ijms21186518 · 2020 · External reference
Metagenome-wide association study of gut microbiome revealed novel aetiology of rheumatoid arthritis in the Japanese population
10.1136/annrheumdis-2019-215743 · 2020 · External reference
Unresolved reference
2010 · External reference
Saddlepoint approximations for distributions of quadratic forms in normal variables
10.1093/biomet/86.4.929 · 1999 · External reference
A powerful and flexible multilocus association test for quantitative traits
10.1016/j.ajhg.2007.10.010 · 2008 · External reference
A review of kernel methods for genetic association studies
10.1002/gepi.22180 · 2019 · External reference
Rule based classifier for the analysis of gene-gene and gene-environment interactions in genetic association studies
10.1186/1756-0381-4-4 · 2011 · External reference
Multiple testing with the structure-adaptive Benjamini–Hochberg algorithm
10.1111/rssb.12298 · 2019 · External reference
Unresolved reference
2021 · External reference
Improved correction for population stratification in genome-wide association studies by identifying hidden population structures
10.1002/gepi.20296 · 2008 · External reference
Test for rare variants by environment interactions in sequencing association studies
10.1111/biom.12368 · 2016 · External reference
Test for interactions between a genetic marker set and environment in generalized linear models
10.1093/biostatistics/kxt006 · 2013 · External reference
Greater power and computational efficiency for kernel-based association testing of sets of genetic variants
10.1093/bioinformatics/btu504 · 2014 · External reference
Semiparametric regression of multidimensional genetic pathway data: least-squares kernel machines and linear mixed models
10.1111/j.1541-0420.2007.00799.x · 2007 · External reference
FastSKAT: sequence kernel association tests for very large sets of markers
10.1002/gepi.22136 · 2018 · External reference
Efficient and accurate framework for genome-wide gene-environment interaction analysis in large-scale biobanks
10.1038/s41467-025-57887-3 · 2025 · External reference
Genetic associations in four decades of multienvironment trials reveal agronomic trait evolution in common bean
10.1534/genetics.120.303038 · 2020 · External reference
Statistical methods for gene-environment interaction analysis
10.1002/wics.1635 · 2024 · External reference
A linear mixed-model approach to study multivariate gene–environment interactions
10.1038/s41588-018-0271-0 · 2019 · External reference
Using simulation studies to evaluate statistical methods
10.1002/sim.8086 · 2019 · External reference
Analysis of lifespan across diversity outbred mouse studies identifies multiple longevity-associated loci
10.1093/genetics/iyaf081 · 2025 · External reference
GWAS supported by computer vision identifies large numbers of candidate regulators of in planta regeneration in populus trichocarpa
10.1093/g3journal/jkae026 · 2024 · External reference
Inflation rate prediction in Indonesia using optimized support vector regression model
10.25126/jitecs.202051173 · 2020 · External reference
Relationship between genomic distance-based regression and kernel machine regression for multi-marker association testing
10.1002/gepi.20567 · 2011 · External reference
Unresolved reference
1998 · External reference
Principal components analysis corrects for stratification in genome-wide association studies
10.1038/ng1847 · 2006 · External reference
Unresolved reference
2002 · External reference
Identification of target chicken populations by machine learning models using the minimum number of SNPs
10.3390/ani11010241 · 2021 · External reference
A machine learning-based SNP-set analysis approach for identifying disease-associated susceptibility loci
10.1038/s41598-022-19708-1 · 2022 · External reference
A tutorial on support vector regression
10.1023/b:stco.0000035301.49549.88 · 2004 · External reference
Statistical methods in genome-wide association studies
10.1146/annurev-biodatasci-030320-041026 · 2020 · External reference
The importance of endophenotypes to evaluate the relationship between genotype and external phenotype
10.3390/ijms18020472 · 2017 · External reference
Support vector method for function approximation, regression estimation and signal processing
1996 · External reference
Modeling linkage disequilibrium increases accuracy of polygenic risk scores
10.1016/j.ajhg.2015.09.001 · 2015 · External reference
Mantis-ml: disease-agnostic gene prioritization from high-throughput genomic screens by stochastic semi-supervised learning
10.1016/j.ajhg.2020.03.012 · 2020 · External reference
10.1137/1.9781611970128
10.1137/1.9781611970128 · 1990 · External reference
Assoctests: an R package for genetic association studies
10.18637/jss.v094.i05 · 2020 · External reference
A variance component based multi-marker association test using family and unrelated data
10.1186/1471-2156-14-1 · 2013 · External reference
Structured gene-environment interaction analysis
10.1111/biom.13139 · 2020 · External reference
Gene–environment interaction analysis via deep learning
10.1002/gepi.22518 · 2023 · External reference
XPXP: improving polygenic prediction by cross-population and cross-phenotype analysis
10.1093/bioinformatics/btac029 · 2022 · External reference
The genetic mechanism of heterosis utilization in maize improvement
10.1186/s13059-021-02370-7 · 2021 · External reference
Genomic insights into oxalate content in spinach: a genome-wide association study and genomic prediction approach
10.1016/j.hpj.2023.12.015 · 2025 · External reference
JointPRS: a data-adaptive framework for multi-population genetic risk prediction incorporating genetic correlation
10.1038/s41467-025-59243-x · 2025 · External reference
Machine-learning-based genome-wide association studies for uncovering QTL underlying soybean yield and its components
10.3390/ijms23105538 · 2022 · External reference
10.1007/978-1-0716-2237-7_4
10.1007/978-1-0716-2237-7_4 · 2022 · External reference
Hypothesis testing in semiparametric additive mixed models
10.1093/biostatistics/4.1.57 · 2003 · External reference
Mixed linear model approach adapted for genome-wide association studies
10.1038/ng.546 · 2010 · External reference
Composite kernel machine regression based on likelihood ratio test for joint testing of genetic and gene–environment interaction effect
10.1111/biom.13003 · 2019 · External reference
Testing gene-environment interactions for rare and/or common variants in sequencing association studies
10.1371/journal.pone.0229217 · 2020 · External reference
A fast and robust Bayesian nonparametric method for prediction of complex traits using summary statistics
10.1371/journal.pgen.1009697 · 2021 · External reference
