Title: Probabilistic modeling in bioinformatics and medical informatics
Description: Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences. The first part of this book provides a self-contained introduction to the methodology of Bayesian networks. The following parts demonstrate how these methods are applied in bioinformatics and medical informatics. All three fields - the methodology of probabilistic modeling, bioinformatics, and medical informatics - are evolving very quickly. The text should therefore be seen as an introduction, offering both elementary tutorials as well as more advanced applications and case studies.
Subjects: Methods, Computational Biology, Bayesian statistical decision theory, Bayes Theorem, Medical informatics, Methodology, Bioinformatics, Statistical Models, Computer science, Medical records, Data processing, Computer software, Statistics, Probability and Statistics in Computer Science, Math Applications in Computer Science, Algorithm Analysis and Problem Complexity, Statistics for Life Sciences, Medicine, Health Sciences, Health Informatics