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.
1101005741
Probabilistic Modeling in Bioinformatics and Medical Informatics
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.
169.99
In Stock
5
1

Probabilistic Modeling in Bioinformatics and Medical Informatics
508
Probabilistic Modeling in Bioinformatics and Medical Informatics
508Paperback(Softcover reprint of hardcover 1st ed. 2005)
$169.99
169.99
In Stock
Product Details
ISBN-13: | 9781849969123 |
---|---|
Publisher: | Springer London |
Publication date: | 12/10/2010 |
Series: | Advanced Information and Knowledge Processing |
Edition description: | Softcover reprint of hardcover 1st ed. 2005 |
Pages: | 508 |
Product dimensions: | 6.10(w) x 9.25(h) x 0.04(d) |
From the B&N Reads Blog