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Hidden Markov Models for Bioinformatics - Computational Biology Timo Koski Softcover Reprint of the Original 1st Ed. 2001 edition
Hidden Markov Models for Bioinformatics - Computational Biology
Timo Koski
Gives an introduction to probabilistic modeling in bioinformatics. This book contains a mathematically strict presentation of the kind of probabilistic models that have turned out to be useful in genome analysis. It treats questions of parametric inference, selection between model families, and various architectures.
391 pages, biography
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | November 30, 2001 |
| ISBN13 | 9781402001369 |
| Publishers | Kluwer Academic Publishers |
| Pages | 391 |
| Dimensions | 160 × 240 × 21 mm · 580 g |
| Language | English |