Table of Contents:
  • 1. Bioinformatics and gene expression experiments
  • 2. Gene expression data : basic biology and experiments
  • 3. Bayesian linear models for gene expression
  • 4. Bayesian multiple testing and false discovery rate analysis
  • 5. Bayesian classification for microarray data
  • 6. Bayesian hypothesis inference for gene classes
  • 7. Unsupervised classification and Bayesian clustering
  • 8. Bayesian graphical models
  • 9. Advanced topics
  • App. A. Basics of Bayesian modeling
  • App. B. Bayesian computation tools.