4 Result(s)
within
Sungkyoung Choi
Bioinformatics
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Article
Open AccessEvaluation of penalized and machine learning methods for asthma disease prediction in the Korean Genome and Epidemiology Study (KoGES)
Genome-wide association studies have successfully identified genetic variants associated with human disease. Various statistical approaches based on penalized and machine learning methods have recently been pr...
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Article
Open AccessDrug response prediction model using a hierarchical structural component modeling method
Component-based structural equation modeling methods are now widely used in science, business, education, and other fields. This method uses unobservable variables, i.e., “latent” variables, and structural equ...
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Article
Open AccessPathway-based approach using hierarchical components of rare variants to analyze multiple phenotypes
As one possible solution to the “missing heritability” problem, many methods have been proposed that apply pathway-based analyses, using rare variants that are detected by next generation sequencing technology...
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Article
Open AccessHierarchical structural component modeling of microRNA-mRNA integration analysis
Identification of multi-markers is one of the most challenging issues in personalized medicine era. Nowadays, many different types of omics data are generated from the same subject. Although many methods endea...
