Principal component regression and linear mixed model in association analysis of structured samples: competitors or complements?
about
Quality control, imputation and analysis of genome-wide genotyping data from the Illumina HumanCoreExome microarray.Multiple SNP Set Analysis for Genome-Wide Association Studies Through Bayesian Latent Variable Selection.Accuracy of heritability estimations in presence of hidden population stratification.An eQTL variant of ZXDC is associated with IFN-γ production following Mycobacterium tuberculosis antigen-specific stimulation.On the substructure controls in rare variant analysis: Principal components or variance components?
P2860
Principal component regression and linear mixed model in association analysis of structured samples: competitors or complements?
description
2014 nî lūn-bûn
@nan
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
2014年论文
@zh
2014年论文
@zh-cn
name
Principal component regression ...... s: competitors or complements?
@en
type
label
Principal component regression ...... s: competitors or complements?
@en
prefLabel
Principal component regression ...... s: competitors or complements?
@en
P2860
P356
P1433
P1476
Principal component regression ...... s: competitors or complements?
@en
P2093
P2860
P304
P356
10.1002/GEPI.21879
P577
2014-12-23T00:00:00Z