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Hidden Markov Models for Bioinformatics

Language EnglishEnglish
Book Hardback
Book Hidden Markov Models for Bioinformatics T. Koski
Libristo code: 01414503
Publishers Springer-Verlag New York Inc., November 2001
The purpose of this book is to give a thorough and systematic introduction to probabilistic modeling... Full description
? points 349 b
144.46
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The purpose of this book is to give a thorough and systematic introduction to probabilistic modeling in bioinformatics. The book contains a mathematically strict and extensive presentation of the kind of probabilistic models that have turned out to be useful in genome analysis. Questions of parametric inference, selection between model families, and various architectures are treated. Several examples are given of known architectures (e.g., profile HMM) used in genome analysis. §Audience: This book will be of interest to advanced undergraduate and graduate students with a fairly limited background in probability theory, but otherwise well trained in mathematics and already familiar with at least some of the techniques of algorithmic sequence analysis.

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