Probabilistic Modelling in Bioinformatics and Medical Informatics From Springer

Product 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.
Product Details

* Amazon Sales Rank: #1245294 in Books
* Published on: 2004-12-17
* Number of items: 1
* Binding: Hardcover
* 504 pages

Editorial Reviews

Review

From the reviews:

"This book is a collection of chapters describing methods of statistical analysis of medical and biological data, with a focus on mathematical descriptions and implementing algorithms. It will be particularly useful for those who are interested in a better understanding of artificial neutral networks . Generally, it is a refreshing book for a statistician giving a good description of a wide variety of complex models." (Natalia Bochkina, Significance, Vol. 3 (3), 2006)