Penalized Regression and Risk Prediction in Genome-Wide Association Studies.
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Generic Feature Selection with Short Fat Data.Review and evaluation of penalised regression methods for risk prediction in low-dimensional data with few events.Exploiting Linkage Disequilibrium for Ultrahigh-Dimensional Genome-Wide Data with an Integrated Statistical Approach.Combining Multiple Hypothesis Testing with Machine Learning Increases the Statistical Power of Genome-wide Association Studies.Prediction of Quantitative Traits Using Common Genetic Variants: Application to Body Mass Index.Genetic risk models: Influence of model size on risk estimates and precision.Analysis of multiple related phenotypes in genome-wide association studies.Penalized regression approaches to testing for quantitative trait-rare variant associationLarge sample size, wide variant spectrum, and advanced machine-learning technique boost risk prediction for inflammatory bowel disease.A method combining a random forest-based technique with the modeling of linkage disequilibrium through latent variables, to run multilocus genome-wide association studies.Evaluation of polygenic risk scores for ovarian cancer risk prediction in a prospective cohort study
P2860
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P2860
Penalized Regression and Risk Prediction in Genome-Wide Association Studies.
description
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 August 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
Penalized Regression and Risk Prediction in Genome-Wide Association Studies.
@en
Penalized Regression and Risk Prediction in Genome-Wide Association Studies.
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type
label
Penalized Regression and Risk Prediction in Genome-Wide Association Studies.
@en
Penalized Regression and Risk Prediction in Genome-Wide Association Studies.
@nl
prefLabel
Penalized Regression and Risk Prediction in Genome-Wide Association Studies.
@en
Penalized Regression and Risk Prediction in Genome-Wide Association Studies.
@nl
P2093
P2860
P356
P1476
Penalized Regression and Risk Prediction in Genome-Wide Association Studies.
@en
P2093
Erin Austin
Xiaotong Shen
P2860
P356
10.1002/SAM.11183
P577
2013-08-01T00:00:00Z