1. Introduction 2. Data Characterization 3. Feature Selection and Extraction from Heterogeneous genomic characterizations 4. Validation Methodologies 5. Tumor Growth Models 6. Overview of Predictive Modeling Based on Genetic Characterizations 7. Predictive Modeling Based on Random Forests 8. Predictive Modeling Based on Multivariate Random Forests 9. Predictive Modeling based on Functional and Genomic Characterizations 10. Inference of Dynamic Biological Networks based on Perturbation Data 11. Combination Therapeutics 12. Online Resources 13. Challenges
