Active Learning Framework for Cost-Effective TCR-Epitope Binding Affinity Prediction

Mathematics

• T Cell Receptor 100%
• Active Learning 89%
• Affine transformation 63%
• Prediction 45%
• Annotation 44%
• Costs 41%
• Framework 32%
• Prediction Model 20%
• Training 17%
• Query 15%
• Performance Model 11%
• Strategy 11%
• Adaptive Systems 11%
• Immune System 10%
• Random Sampling 9%
• Redundancy 9%
• Machine Learning 8%
• Baseline 8%
• Truth 8%
• Maximise 7%
• Optimization 6%
• Cell 5%
• Evaluation 5%
• Performance 4%

Engineering & Materials Science

• Epitopes 91%
• T-cells 84%
• Problem-Based Learning 65%
• Costs 21%
• Immune system 9%
• Deep learning 7%
• Labels 6%
• Redundancy 6%
• Sampling 5%
• Set theory 5%

Medicine & Life Sciences

• Problem-Based Learning 74%
• T-Lymphocyte Epitopes 68%
• T-Cell Antigen Receptor 57%
• Costs and Cost Analysis 35%
• Machine Learning 9%
• Epitopes 6%
• Immune System 6%