Hidden Markov Models for Bioinformatics - Hardback - 2001

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.
Year of publication: 2001
Pagination: 391 pages, biography
Format: Hardback
Serie: Computational Biology