A kernel regression approach to gene-gene interaction detection for case-control studies. - Wikidata - awgldk - TriplyDB

A kernel regression approach to gene-gene interaction detection for case-control studies.

A kernel regression approach to gene-gene interaction detection for case-control studies.

http://www.wikidata.org/entity/Q37238849

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A Fast Multiple-Kernel Method With Applications to Detect Gene-Environment Interaction.Kernel methods for large-scale genomic data analysis.Complete effect-profile assessment in association studies with multiple genetic and multiple environmental factors.Pathway-guided identification of gene-gene interactions Jackknife-based gene-gene interactiontests for untyped SNPs A Bayesian Partitioning Model for the Detection of Multilocus Effects in Case-Control Studies A gene-based information gain method for detecting gene-gene interactions in case-control studies.Kernel machine methods for integrative analysis of genome-wide methylation and genotyping studies.Statistical software for analyzing the health effects of multiple concurrent exposures via Bayesian kernel machine regression

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A kernel regression approach to gene-gene interaction detection for case-control studies.

http://www.wikidata.org/entity/Q37238849

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article científic

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article scientifique

@fr

articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on 19 July 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

A kernel regression approach to gene-gene interaction detection for case-control studies.

@en

A kernel regression approach to gene-gene interaction detection for case-control studies.

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type

label

A kernel regression approach to gene-gene interaction detection for case-control studies.

@en

A kernel regression approach to gene-gene interaction detection for case-control studies.

@nl

prefLabel

A kernel regression approach to gene-gene interaction detection for case-control studies.

@en

A kernel regression approach to gene-gene interaction detection for case-control studies.

@nl

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Genetic Epidemiology

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A kernel regression approach to gene-gene interaction detection for case-control studies.

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Daniel J Schaid

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Nicholas B Larson

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P2860

Potential etiologic and functional implications of genome-wide association loci for human diseases and traits

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SNP set association analysis for familial data.

The role of BDNF, NTRK2 gene and their interaction in development of treatment-resistant depression: data from multicenter, prospective, longitudinal clinic practice.

Detection for gene-gene co-association via kernel canonical correlation analysis.

Estimation and testing for the effect of a genetic pathway on a disease outcome using logistic kernel machine regression via logistic mixed models.

Using principal components of genetic variation for robust and powerful detection of gene-gene interactions in case-control and case-only studies.

The future of association studies: gene-based analysis and replication.

Nonparametric tests of association of multiple genes with human disease.

Rare-variant association testing for sequencing data with the sequence kernel association test.

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695-703

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scholarly article

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10.1002/GEPI.21749

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7

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37

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2013-07-19T00:00:00Z

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23868214

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3800261

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