Evaluation of the lasso and the elastic net in genome-wide association studies.
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Integration Analysis of Three Omics Data Using Penalized Regression Methods: An Application to Bladder CancerRegularized Machine Learning in the Genetic Prediction of Complex TraitsPrediction of early breast cancer metastasis from DNA microarray data using high-dimensional cox regression modelsA LASSO penalized regression approach for genome-wide association analyses using related individuals: application to the Genetic Analysis Workshop 19 simulated dataMethylome-wide association study of whole blood DNA in the Norfolk Island isolate identifies robust loci associated with age.Detection of gene-environment interactions in the presence of linkage disequilibrium and noise by using genetic risk scores with internal weights from elastic net regression.Penalized multimarker vs. single-marker regression methods for genome-wide association studies of quantitative traits.Performance of a blockwise approach in variable selection using linkage disequilibrium information.Exploiting Linkage Disequilibrium for Ultrahigh-Dimensional Genome-Wide Data with an Integrated Statistical Approach.Body Composition Features Predict Overall Survival in Patients With Hepatocellular CarcinomaGenome-wide prediction using Bayesian additive regression trees.Integrative modelling of tumour DNA methylation quantifies the contribution of metabolismExpression QTLs Mapping and Analysis: A Bayesian Perspective.DNA microarray analysis of Staphylococcus aureus causing bloodstream infection: bacterial genes associated with mortality?Efficient exploration of pan-cancer networks by generalized covariance selection and interactive web content.Resampling-based tests for Lasso in genome-wide association studiesGenomic regions influencing coat color saturation and facial markings in Fleckvieh cattle.Comparison of weighting approaches for genetic risk scores in gene-environment interaction studies.Monitoring prescribing patterns using regression and electronic health records.Trait-specific long-term consequences of genomic selection in beef cattle.Comparison of GWAS models to identify non-additive genetic control of flowering time in sunflower hybrids.Using Lasso for Predictor Selection and to Assuage Overfitting: A Method Long Overlooked in Behavioral Sciences.A method combining a random forest-based technique with the modeling of linkage disequilibrium through latent variables, to run multilocus genome-wide association studies.TIMSS 2011 Student and Teacher Predictors for Mathematics Achievement Explored and Identified via Elastic Net.DNA Methylation Patterns in Normal Tissue Correlate more Strongly with Breast Cancer Status than Copy-Number Variants.Analysis of genotype by methylation interactions through sparsity-inducing regularized regression
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Evaluation of the lasso and the elastic net in genome-wide association studies.
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article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 04 December 2013
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Evaluation of the lasso and the elastic net in genome-wide association studies.
@en
Evaluation of the lasso and the elastic net in genome-wide association studies.
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type
label
Evaluation of the lasso and the elastic net in genome-wide association studies.
@en
Evaluation of the lasso and the elastic net in genome-wide association studies.
@nl
prefLabel
Evaluation of the lasso and the elastic net in genome-wide association studies.
@en
Evaluation of the lasso and the elastic net in genome-wide association studies.
@nl
P2093
P2860
P356
P1476
Evaluation of the lasso and the elastic net in genome-wide association studies.
@en
P2093
Birgit Gredler
Christian Fuerst
Gábor Mészáros
Johann Sölkner
Patrik Waldmann
P2860
P356
10.3389/FGENE.2013.00270
P577
2013-12-04T00:00:00Z