Hidden Markov models for bioinformatics
✍ Timo Koski
📂 Library
📅 2001
🏛 Kluwer
🌐 English
✦ LIBER ✦
📁
Hidden Markov Models of Bioinformatics
✍ Scribed by Timo Koski
- Publisher
- Springer
- Year
- 2002
- Tongue
- English
- Leaves
- 404
- Series
- Computational Biology
- Edition
- 1
- Category
- Library
⬇ Acquire This Volume
No coin nor oath required. For personal study only.
✦ Synopsis
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
✦ Subjects
Биологические дисциплины;Матметоды и моделирование в биологии;Биоинформатика;
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