Integrating gene set analysis and nonlinear predictive modeling of disease phenotypes using a Bayesian multitask formulation

Mathematics

• Background 8%
• Baseline 10%
• Bayesian Classification 16%
• Binary Classification 13%
• Cancer 10%
• Classification Algorithm 14%
• Demonstrate 6%
• Dependent 6%
• Experiment 7%
• Formulation 38%
• Framework 5%
• Gene 59%
• Gene Expression Data 13%
• Generalise 5%
• Generalization 5%
• Genome 11%
• Genomics 35%
• Integrate 10%
• Knowledge 7%
• Linear Algorithm 12%
• Linearly 8%
• Modeling Method 13%
• Multi-task Learning 34%
• Multiple Models 12%
• Performance 17%
• Phenotype 73%
• Regression 7%
• Sample Size 7%
• Small Sample Size 11%
• Subsampling 13%
• Tuberculosis 13%

Medicine & Life Sciences

• Biological Phenomena 9%
• Datasets 24%
• Gene Expression 6%
• Genes 24%
• Genome 6%
• Learning 14%
• Linear Models 7%
• Neoplasms 3%
• Phenotype 36%
• Psychological Generalization 13%
• Sample Size 18%
• Tuberculosis 8%

Engineering & Materials Science

• Experiments 3%
• Gene expression 11%
• Genes 57%
• Genomics 10%
• Multi-task learning 27%
• Set theory 6%