Table of Contents:
  • Introduction
  • Data characterization
  • Feature selection and extraction from heterogeneous genomic characterizations
  • Validation methodologies
  • Tumor growth models
  • Overview of predictive modeling based on genomic characterizations
  • Predictive modeling based on random forests
  • Predictive modeling based on multivariate random forests
  • Predictive modeling based on functional and genomic characterizations
  • Inference of dynamic biological networks based on perturbation data
  • Combination therapeutics
  • Online resources
  • Challenges.