ENGLISH

Hidden Markov Models of Bioinformatics

By Timo Koski

Book information

Publisher
Springer
Year
2002
ISBN
1402001363, 9781402001369
Open Library ID
OL8369775M
Language
english
Format
DJVU
Filesize
3 MB (2788805 bytes)
Series
Computational Biology
Edition
1
Pages
404\404
Library
Kolxo3
DPI
300
Time added
2011-01-23 12:00:00
Биологические дисциплины;Матметоды и моделирование

Description

Foreword. 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. Index

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