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Hidden Markov Models for Bioinformatics - Computational Biology T. Koski 2002 edition
Hidden Markov Models for Bioinformatics - Computational Biology
T. Koski
Gives a thorough and systematic introduction to probabilistic modeling in bioinformatics. This book contains a mathematically strict and extensive presentation of the kind of probabilistic models that have turned out to be useful in genome analysis. It also gives examples of known architectures (such as, profile HMM) used in genome analysis.
391 pages, biography
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | November 30, 2001 |
| ISBN13 | 9781402001352 |
| Publishers | Springer-Verlag New York Inc. |
| Pages | 391 |
| Dimensions | 155 × 235 × 23 mm · 725 g |
| Language | English |