Functional linear models for association analysis of quantitative traits. - Wikidata - awgldk - TriplyDB

Functional linear models for association analysis of quantitative traits.

Functional linear models for association analysis of quantitative traits.

http://www.wikidata.org/entity/Q34180342

about

Pleiotropy analysis of quantitative traits at gene level by multivariate functional linear models Region-Based Association Test for Familial Data under Functional Linear Models Some pitfalls in application of functional data analysis approach to association studies A new statistical framework for genetic pleiotropic analysis of high dimensional phenotype data.Longitudinal analysis is more powerful than cross-sectional analysis in detecting genetic association with neuroimaging phenotypes.A powerful and adaptive association test for rare variants TARV: tree-based analysis of rare variants identifying risk modifying variants in CTNNA2 and CNTNAP2 for alcohol addiction.Functional analysis of variance for association studies.Generalized functional linear models for gene-based case-control association studies Functional-mixed effects models for candidate genetic mapping in imaging genetic studies.Common Variants at Putative Regulatory Sites of the Tissue Nonspecific Alkaline Phosphatase Gene Influence Circulating Pyridoxal 5'-Phosphate Concentration in Healthy Adults Gene Level Meta-Analysis of Quantitative Traits by Functional Linear Models.Gene-Based Association Analysis for Censored Traits Via Fixed Effect Functional Regressions.Meta-analysis of Complex Diseases at Gene Level with Generalized Functional Linear Models Uncovering Local Trends in Genetic Effects of Multiple Phenotypes via Functional Linear Models.Utilizing mutual information for detecting rare and common variants associated with a categorical trait.A functional U-statistic method for association analysis of sequencing data.Meta-analysis of quantitative pleiotropic traits for next-generation sequencing with multivariate functional linear models.A comparison study of multivariate fixed models and Gene Association with Multiple Traits (GAMuT) for next-generation sequencing.A Comparison Study of Fixed and Mixed Effect Models for Gene Level Association Studies of Complex Traits.FREGAT: an R package for region-based association analysis.A marginal rank-based inverse normal transformation approach to comparing multiple clinical trial endpoints.A Novel Statistic for Global Association Testing Based on Penalized Regression.Iterative hard thresholding for model selection in genome-wide association studies.Weighted functional linear regression models for gene-based association analysis.

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Functional linear models for association analysis of quantitative traits.

http://www.wikidata.org/entity/Q34180342

description

2013 nî lūn-bûn

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2013 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած

@hyw

2013 թվականի նոյեմբերին հրատարակված գիտական հոդված

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2013年の論文

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2013年学术文章

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2013年学术文章

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2013年学术文章

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2013年学术文章

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2013年学术文章

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2013年學術文章

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name

Functional linear models for association analysis of quantitative traits.

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Functional linear models for association analysis of quantitative traits.

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Functional linear models for association analysis of quantitative traits.

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type

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Functional linear models for association analysis of quantitative traits.

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Functional linear models for association analysis of quantitative traits.

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Functional linear models for association analysis of quantitative traits.

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Functional linear models for association analysis of quantitative traits.

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Functional linear models for association analysis of quantitative traits.

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Functional linear models for association analysis of quantitative traits.

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Genetic Epidemiology

P1476

Functional linear models for association analysis of quantitative traits.

@en

P2093

Momiao Xiong

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Ruzong Fan

http://www.w3.org/2001/XMLSchema#string

Yifan Wang

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P2860

Bioinformatic and genetic association analysis of microRNA target sites in one-carbon metabolism genes

Sequencing technologies - the next generation

Next-generation DNA sequencing methods

Pooled association tests for rare variants in exon-resequencing studies

Next-generation DNA sequencing

Optimal tests for rare variant effects in sequencing association studies.

Semiparametric regression of multidimensional genetic pathway data: least-squares kernel machines and linear mixed models

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

Methods for detecting associations with rare variants for common diseases: application to analysis of sequence data.

A groupwise association test for rare mutations using a weighted sum statistic.

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10.1002/GEPI.21757

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7

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37

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Joan Bailey-Wilson

Alexander F Wilson

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2013-11-01T00:00:00Z

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257839527

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