Testing for association with multiple traits in generalized estimation equations, with application to neuroimaging data.
about
FVGWAS: Fast voxelwise genome wide association analysis of large-scale imaging genetic data.Powerful and Adaptive Testing for Multi-trait and Multi-SNP Associations with GWAS and Sequencing Data.Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studiesFunctional-mixed effects models for candidate genetic mapping in imaging genetic studies.Joint Analysis of Multiple Traits Using "Optimal" Maximum Heritability Test.A cautionary note on using secondary phenotypes in neuroimaging genetic studies.Highly adaptive tests for group differences in brain functional connectivityApproximate score-based testing with application to multivariate trait association analysis.Genome-wide association analysis of secondary imaging phenotypes from the Alzheimer's disease neuroimaging initiative study.Multivariate simulation framework reveals performance of multi-trait GWAS methods.Imaging-wide association study: Integrating imaging endophenotypes in GWAS.FGWAS: Functional genome wide association analysis.Conditional analysis of multiple quantitative traits based on marginal GWAS summary statistics.Adaptive testing for multiple traits in a proportional odds model with applications to detect SNP-brain network associations.Gene- and pathway-based association tests for multiple traits with GWAS summary statistics.Statistical Methods for Testing Genetic Pleiotropy.An Adaptive Association Test for Multiple Phenotypes with GWAS Summary Statistics.Comparison of statistical tests for group differences in brain functional networks.A novel method to test associations between a weighted combination of phenotypes and genetic variants.Adaptive SNP-Set Association Testing in Generalized Linear Mixed Models with Application to Family Studies.Powerful Genetic Association Analysis for Common or Rare Variants with High-Dimensional Structured Traits.A hierarchical clustering method for dimension reduction in joint analysis of multiple phenotypes.An adaptive gene-based test for methylation dataAn adaptive gene-level association test for pedigree data
P2860
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P2860
Testing for association with multiple traits in generalized estimation equations, with application to neuroimaging data.
description
2014 nî lūn-bûn
@nan
2014 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Testing for association with m ...... lication to neuroimaging data.
@ast
Testing for association with m ...... lication to neuroimaging data.
@en
type
label
Testing for association with m ...... lication to neuroimaging data.
@ast
Testing for association with m ...... lication to neuroimaging data.
@en
prefLabel
Testing for association with m ...... lication to neuroimaging data.
@ast
Testing for association with m ...... lication to neuroimaging data.
@en
P2093
P2860
P1433
P1476
Testing for association with m ...... lication to neuroimaging data.
@en
P2093
Xiaotong Shen
Yiwei Zhang
Zhiyuan Xu
P2860
P304
P356
10.1016/J.NEUROIMAGE.2014.03.061
P407
P577
2014-04-01T00:00:00Z