Generating a robust statistical causal structure over 13 cardiovascular disease risk factors using genomics data

Keyphrases

• Cardiovascular Risk 100%
• Causal Network 100%
• Genomic Data 100%
• Causal Structure 100%
• Risk Factors 50%
• Principal Coordinate Analysis (PCoA) 50%
• Good Target 50%
• Causal Relationship 25%
• Disease Risk 25%
• Biomedical Science 25%
• Network Structure 25%
• Genotype Data 25%
• SNP Genotyping 25%
• Information Flow 25%
• Equivalency 25%
• Expert Knowledge 25%
• Directed Acyclic Graph 25%
• Extracting Information 25%
• Markov 25%
• Knowledge Data 25%
• First Principals 25%
• Directed Edges 25%
• Large number of Variables 25%
• Exogenous Data 25%
• Endogenous Variable 25%

Computer Science

• Principal Components 100%
• Causal Relationship 50%
• Component Analysis 50%
• Principle Component Analysis 50%
• Extract Information 50%
• Expert Knowledge 50%
• Network Structures 50%
• Directed Acyclic Graph 50%
• Alternative Path 50%
• Endogenous Variable 50%
• Exogenous Information 50%

Biochemistry, Genetics and Molecular Biology

• Genotyping 100%
• Single Nucleotide Polymorphism 100%
• Principal Component Analysis 100%