chapter 1 Estimation and Testing in Time-Course Microarray Experi- ments / chapter 2 Classification for Differential Gene Expression Using Bayesian Hierarchical Models / chapter 3 Applications of MOSS for Discrete Multi-Way Data and He´le`ne Massam / chapter 4 Nonparametric Bayesian Bioinformatics / chapter 5 Measurement Error and Survival Model for cDNA Micro- arrays / chapter 6 Bayesian Robust Inference for Differential Gene Expression / chapter 7 Bayesian Hidden Markov Modeling of Array CGH Data / chapter 8 Bayesian Approaches to Phylogenetic Analysis / chapter 9 Gene Selection for the Identification of Biomarkers in High- Throughput Data / chapter 10 Sparsity Priors for Protein–Protein Interaction Predictions / chapter 11 Learning Bayesian Networks for Gene Expression Data / chapter 12 In-Vitro to In-Vivo Factor Profiling in Expression Genomics / chapter 13 Proportional Hazards Regression Using Bayesian Kernel Machines / chapter 14 A Bayesian Mixture Model for Protein Biomarker Discovery / chapter 15 Bayesian Methods for Detecting Differentially Expressed / chapter 16 Bayes and Empirical Bayes Methods for Spotted Microarray Data Analysis / chapter 17 Bayesian Classification Method for QTL Mapping