Probabilistic modeling in bioinformatics and medical informatics - Info and Reading Options
By Dirk Husmeier ( 1964 - )

“Probabilistic modeling in bioinformatics and medical informatics” Metadata:
- Title: ➤ Probabilistic modeling in bioinformatics and medical informatics
- Author: Dirk Husmeier
“Probabilistic modeling in bioinformatics and medical informatics” Subjects and Themes:
- 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
Edition Identifiers:
- The Open Library ID: OL18470867W
AI-generated Review of “Probabilistic modeling in bioinformatics and medical informatics”:
"Probabilistic modeling in bioinformatics and medical informatics" Description:
The Open Library:
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.
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