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Article
Open AccessDetection for gene-gene co-association via kernel canonical correlation analysis
Currently, most methods for detecting gene-gene interaction (GGI) in genomewide association studies (GWASs) are limited in their use of single nucleotide polymorphism (SNP) as the unit of association. One way ...
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Article
Open AccessA powerful latent variable method for detecting and characterizing gene-based gene-gene interaction on multiple quantitative traits
On thinking quantitatively of complex diseases, there are at least three statistical strategies for analyzing the gene-gene interaction: SNP by SNP interaction on single trait, gene-gene (each can involve mult...
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Article
Open AccessIntegrative Bayesian variable selection with gene-based informative priors for genome-wide association studies
Genome-wide Association Studies (GWAS) are typically designed to identify phenotype-associated single nucleotide polymorphisms (SNPs) individually using univariate analysis methods. Though providing valuable insi...
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Article
Open AccessA powerful score-based test statistic for detecting gene-gene co-association
The genetic variants identified by Genome-wide association study (GWAS) can only account for a small proportion of the total heritability for complex disease. The existence of gene-gene joint effects which con...
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Article
Open AccessA novel Markov Blanket-based repeated-fishing strategy for capturing phenotype-related biomarkers in big omics data
We propose a novel Markov Blanket-based repeated-fishing strategy (MBRFS) in attempt to increase the power of existing Markov Blanket method (DASSO-MB) and maintain its advantages in omic data analysis.
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Article
Open AccessFyn kinase regulates dopaminergic neuronal apoptosis in animal and cell models of high glucose (HG) treatment
High glucose (HG) is linked to dopaminergic neuron loss and related Parkinson’s disease (PD), but the mechanism is unclear.