Probabilistic Methods For Bioinformatics
Download Probabilistic Methods For Bioinformatics PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Probabilistic Methods For Bioinformatics book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Probabilistic Methods for Bioinformatics
Author: Richard E. Neapolitan
language: en
Publisher: Morgan Kaufmann
Release Date: 2009-06-12
The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability distributions. When used in conjunction with specialized informatics, possibilities of real-world applications are achieved. Probabilistic Methods for BioInformatics explains the application of probability and statistics, in particular Bayesian networks, to genetics. This book provides background material on probability, statistics, and genetics, and then moves on to discuss Bayesian networks and applications to bioinformatics. Rather than getting bogged down in proofs and algorithms, probabilistic methods used for biological information and Bayesian networks are explained in an accessible way using applications and case studies. The many useful applications of Bayesian networks that have been developed in the past 10 years are discussed. Forming a review of all the significant work in the field that will arguably become the most prevalent method in biological data analysis. - Unique coverage of probabilistic reasoning methods applied to bioinformatics data--those methods that are likely to become the standard analysis tools for bioinformatics. - Shares insights about when and why probabilistic methods can and cannot be used effectively; - Complete review of Bayesian networks and probabilistic methods with a practical approach.
Probabilistic Modeling in Bioinformatics and Medical Informatics
Author: Dirk Husmeier
language: en
Publisher: Springer Science & Business Media
Release Date: 2006-05-06
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.
Biological Sequence Analysis
Author: Richard Durbin
language: en
Publisher: Cambridge University Press
Release Date: 1998-04-23
Presents up-to-date computer methods for analysing DNA, RNA and protein sequences.