Sparse reduced-rank regression for integrating omics data

Keyphrases

• Atherosclerotic Cardiovascular Disease (ASCVD) 100%
• Omics Data 100%
• Sparse Reduced-rank Regression 100%
• Genetic Variants 75%
• Genomic Data 50%
• Metabolomics Data 50%
• Coefficient Matrix 50%
• Complex Disease 25%
• Risk Factors 25%
• Low-rank 25%
• Multiple Responses 25%
• Linear Regression Model 25%
• Multiple Predictors 25%
• Competitive Performance 25%
• Large Sample Size 25%
• Multivariate Linear Regression Model 25%
• Considerable Research Interest 25%
• Univariate Linear Regression 25%
• Multiple Omics Data 25%
• Row-sparse 25%
• Popular Epidemiology 25%

Mathematics

• Data Type 100%
• Coefficient Matrix 66%
• Linear Regression Model 66%
• significance level α 33%
• Multiple Predictor 33%

Biochemistry, Genetics and Molecular Biology

• Genetic Divergence 100%
• Metabolomics 66%
• Metabolite 33%
• Sample Size 33%