Identification of disease-associated loci using machine learning for genotype and network data integration

Keyphrases

• Genome-wide Association Study 100%
• Omics Data 100%
• Disease-associated 100%
• Machine Learning 100%
• Data Integration 100%
• Genotype Data 100%
• Network Data 100%
• Non-negative Matrix Tri-factorization 100%
• Lipid Traits 66%
• Missing Heritability 66%
• Meta-analysis 33%
• Complex Disease 33%
• Personalized Medicine 33%
• Population-based Cohort 33%
• Lipid Metabolism 33%
• Regression Model 33%
• Gene Network 33%
• Clustering Methods 33%
• Machine Learning Algorithms 33%
• Genotype-phenotype 33%
• Biological Data 33%
• Population Structure 33%
• Biological Signature 33%
• Integration Algorithm 33%
• Pleiotropic Gene 33%
• PRMT1 33%
• Damaging Effects 33%
• Trait Association 33%
• Novel Machine 33%
• NLGN1 33%
• DAB1 33%
• User Research 33%

Biochemistry, Genetics and Molecular Biology

• Genotyping 100%
• Genome-Wide Association Study 100%
• Lipid 66%
• Lipid Metabolism 33%
• Gene Network 33%
• Relatedness 33%
• Population Structure 33%
• NLGN1 33%
• CARM1 33%