Title Hidden Markov models for bioinformatics / by Timo Koski

Published Dordrecht ; Boston : Kluwer Academic Publishers ; Norwell, MA : Distributed in North, Central and South America by Kluwer Academic Publishers, [2001] ©2001

Copies

Location	Call no.	Vol.	Availability
W'PONDS	572.8633 Kos/Hmm		AVAILABLE

Description xvii, 391 pages : illustrations ; 25 cm Series Computational biology ; v. 2 Computational biology ; v. 2 Contents 1. Prerequisites in probability calculus -- 2. Information and the Kullback Distance -- 3. Probabilistic Models and Learning -- 4. EM Algorithm -- 5. Alignment and Scoring -- 6. Mixture Models and Profiles -- 7. Markov Chains -- 8. Learning of Markov Chains -- 9. Markovian Models for DNA sequences -- 10. Hidden Markov Models: an Overview -- 11. HMM for DNA Sequences -- 12. Left to Right HMM for Sequences -- 13. Derin's Algorithm -- 14. Forward - Backward Algorithm -- 15. Baum - Welch Learning Algorithm -- 16. Limit Points of Baum - Welch -- 17. Asymptotics of Learning -- 18. Full Probabilistic HMM Bibliography Includes bibliographical references and index Subject Nucleotide sequence -- Mathematical models. Nucleotide sequence -- Statistical methods. Markov processes. LC no. 2001053883 ISBN 1402001355 alkaline paper 1402001363 paperback 140200135e

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