Integration of Multi-Omics Data Using Probabilistic Graph Models and External Knowledge

Mathematics

• Graph Model 100%
• Probabilistic Model 98%
• Knowledge 65%
• Interaction 51%
• Bayesian Networks 35%
• Phenotype 34%
• Biology 28%
• Learning 26%
• Graphical User Interface 23%
• Metabolomics 22%
• Proteomics 20%
• Pregnancy 20%
• High Throughput 20%
• Pathway 17%
• Sequencing 17%
• Baseline 15%
• Molecules 14%
• Background 12%
• High-dimensional 11%
• Distinct 10%
• Modeling 9%
• Curve 8%
• Relationships 8%
• Characterization 7%
• Model 4%

Medicine & Life Sciences

• Statistical Models 97%
• Learning 63%
• Lipidomics 59%
• Bayes Theorem 52%
• Phenotype 52%
• Systems Biology 51%
• Metabolomics 47%
• Proteomics 39%
• Area Under Curve 35%
• Datasets 34%
• Aptitude 29%
• Technology 28%
• Pregnancy 26%

Chemical Compounds

• Biological Property 84%
• Area Under the Curve 41%
• Molecular Cluster 18%
• Strength 18%
• Molecule 10%