Hidden Markov processes : theory and applications to biology /

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This book explores important aspects of Markov and hidden Markov processes and the applications of these ideas to various problems in computational biology. The book starts from first principles, so that no previous knowledge of probability is necessary. However, the work is rigorous and mathematica...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Vidyasagar, M. (Mathukumalli), 1947- (Author)
Format: Electronic eBook
Language:Inglés
Published: Princeton : Princeton University Press, [2014]
Series:Princeton series in applied mathematics.
Subjects:
Computational biology.
Markov processes.
Bioinformatics.
Bio-informatique.
Processus de Markov.
NATURE > Reference.
SCIENCE > Life Sciences > Biology.
SCIENCE > Life Sciences > General.
MATHEMATICS > Applied.
Online Access:Texto completo
Table of Contents:
  • Frontmatter
  • Contents
  • Preface
  • PART 1. Preliminaries
  • Chapter One. Introduction to Probability and Random Variables
  • Chapter Two. Introduction to Information Theory
  • Chapter Three. Nonnegative Matrices
  • PART 2. Hidden Markov Processes
  • Chapter Four. Markov Processes
  • Chapter Five. Introduction to Large Deviation Theory
  • Chapter Six. Hidden Markov Processes: Basic Properties
  • Chapter Seven. Hidden Markov Processes: The Complete Realization Problem
  • PART 3. Applications to Biology
  • Chapter Eight. Some Applications to Computational Biology
  • Chapter Nine. BLAST Theory
  • Bibliography
  • Index
  • Backmatter.

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