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The Resource Hidden Markov processes : theory and applications to biology, M. Vidyasagar

Hidden Markov processes : theory and applications to biology, M. Vidyasagar

Label
Hidden Markov processes : theory and applications to biology
Title
Hidden Markov processes
Title remainder
theory and applications to biology
Statement of responsibility
M. Vidyasagar
Creator
Author
Subject
Language
eng
Summary
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 mathematical, making it useful to engineers and mathematicians, even those not interested in biological applications. A range of exercises is provided, including drills to familiarize the reader with concepts and more advanced problems that require deep thinking about the theory. Biological applications are taken from post-genomic biology, especially genomics and proteomics. The topics examined include standard material such as the Perron-Frobenius theorem, transient and recurrent states, hitting probabilities and hitting times, maximum likelihood estimation, the Viterbi algorithm, and the Baum-Welch algorithm. The book contains discussions of extremely useful topics not usually seen at the basic level, such as ergodicity of Markov processes, Markov Chain Monte Carlo (MCMC), information theory, and large deviation theory for both i.i.d and Markov processes. The book also presents state-of-the-art realization theory for hidden Markov models. Among biological applications, it offers an in-depth look at the BLAST (Basic Local Alignment Search Technique) algorithm, including a comprehensive explanation of the underlying theory. Other applications such as profile hidden Markov models are also explored
Member of
Cataloging source
YDXCP
Index
index present
Language note
In English
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Princeton series in applied mathematics
Hidden Markov processes : theory and applications to biology, M. Vidyasagar
Label
Hidden Markov processes : theory and applications to biology, M. Vidyasagar
Link
http://www.jstor.org/stable/10.2307/j.ctt6wq0db
Publication
Copyright
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Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • 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
  • 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
http://library.link/vocab/cover_art
https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9781400850518&userID=ebsco-test&password=ebsco-test
Dimensions
unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b4332070'}
Extent
1 online resource (xiv, 287 pages).
Form of item
online
Isbn
9781400850518
Lccn
2014009277
Media category
computer
Media MARC source
rdamedia
Media type code
c
Specific material designation
remote

Library Locations

    • Folsom LibraryBorrow it
      110 8th St, Troy, NY, 12180, US
      42.729766 -73.682577
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