Hidden Markov Models of Bioinformatics. Timo Koski

Hidden Markov Models of Bioinformatics



Download Hidden Markov Models of Bioinformatics



Hidden Markov Models of Bioinformatics Timo Koski ebook djvu
Publisher: Springer
Language: English
Page: 404
ISBN: 1402001363, 9781402001369

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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