Probabilistic Modeling in Bioinformatics and Medical Informatics

Part I Probabilistic Modelling 1 A Leisurely Look at Statistical Inference 2 Introduction to Learning Bayesian Networks from Data 3 A Casual View of Multi-Layer Perceptrons as Probability Models Part II Bioinformatics 4 Introduction to Statistical Phylogenetics 5 Detecting Recombination in DNA Sequence Alignments 6 RNA-Based Phylogenetic Methods 7 Statistical Methods in Microarray Gene Expression Data Analysis 8 Inferring Genetic Regulatory Networks from Microarray Experiments with Bayesian Networks 9 Modeling Genetic Regulatory Networks using Gene Expression Profling and State Space Models Part III Medical Informatics 10 An Anthology of Probabilistic Models for Medical Informatics 11 Bayesian Analysis of Population Pharmacokinetic/Pharmacodynamic Models 12 Assessing the Effectiveness of Bayesian Feature Selection 13 Bayes Consistent Classification of EEG Data by Approximate Marginalisation 14 Ensemble Hidden Markov Models with Extended Observation Densities for Biosignal Analysis 15 A Probabilistic Network for Fusion of Data and Knowledge in Clinical Microbiology 16 Software for Probability Models in Medical Informatics A Conventions and Notation Index