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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 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 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 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 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 ...