Bayesian integrative analysis and prediction with application to atherosclerosis cardiovascular disease

Keyphrases

• Atherosclerotic Cardiovascular Disease (ASCVD) 100%
• Integrative Analysis 100%
• Genetic Variants 66%
• Prediction Model 66%
• Gene Pathway 66%
• Association Model 66%
• Clinical Outcomes 66%
• Complex Disease 33%
• Risk Factors 33%
• Disease Risk 33%
• Clinical Data 33%
• Healthy Adults 33%
• Genomic Data 33%
• Cardiovascular Risk 33%
• Demographic Data 33%
• Bayesian Hierarchical Model 33%
• Biomedical Research 33%
• Pathobiology 33%
• Multidimensional Array 33%
• Functional Information 33%
• Joint Association 33%
• Multiple Omics Data 33%
• Functional Knowledge 33%
• Atherosclerotic Cardiovascular Disease Risk 33%
• 10-year Atherosclerotic Cardiovascular Disease Risk 33%
• Joint Prediction 33%
• Clinical Covariates 33%

Biochemistry, Genetics and Molecular Biology

• Genetic Divergence 100%
• Normal Human 50%