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Open AccessA clustering linear combination method for multiple phenotype association studies based on GWAS summary statistics
There is strong evidence showing that joint analysis of multiple phenotypes in genome-wide association studies (GWAS) can increase statistical power when detecting the association between genetic variants and ...
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Article
Open AccessMemristor-based analogue computing for brain-inspired sound localization with in situ training
The human nervous system senses the physical world in an analogue but efficient way. As a crucial ability of the human brain, sound localization is a representative analogue computing task and often employed i...
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Open AccessGene-based association tests using GWAS summary statistics and incorporating eQTL
Although genome-wide association studies (GWAS) have been successfully applied to a variety of complex diseases and identified many genetic variants underlying complex diseases via single marker tests, there i...
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Article
Open AccessJoint Analysis of Multiple Phenotypes in Association Studies based on Cross-Validation Prediction Error
In genome-wide association studies (GWAS), joint analysis of multiple phenotypes could have increased statistical power over analyzing each phenotype individually to identify genetic variants that are associat...
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Article
Open AccessA Nonparametric Regression Approach to Control for Population Stratification in Rare Variant Association Studies
Recently, there is increasing interest to detect associations between rare variants and complex traits. Rare variant association studies usually need large sample sizes due to the rarity of the variants, and l...
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Article
Open AccessAn Adaptive Fisher’s Combination Method for Joint Analysis of Multiple Phenotypes in Association Studies
Currently, the analyses of most genome-wide association studies (GWAS) have been performed on a single phenotype. There is increasing evidence showing that pleiotropy is a widespread phenomenon in complex dise...