Book Search:  

 

 
Google full text of our books:

bookjacket

Genomic Signal Processing
Ilya Shmulevich & Edward R. Dougherty

Hardcover | 2007 | $87.50 / £61.00 | ISBN: 9780691117621
312 pp. | 6 x 9 | 20 halftones. 47 line illus. 4 tables. | SHOPPING CART

eBook | ISBN: 9781400865260 |
Our eBook editions are available from these online vendors

Reviews | Table of Contents
Chapter 1 [HTML] or [PDF] pdf-icon

Google full text of this book:
 

Genomic signal processing (GSP) can be defined as the analysis, processing, and use of genomic signals to gain biological knowledge, and the translation of that knowledge into systems-based applications that can be used to diagnose and treat genetic diseases. Situated at the crossroads of engineering, biology, mathematics, statistics, and computer science, GSP requires the development of both nonlinear dynamical models that adequately represent genomic regulation, and diagnostic and therapeutic tools based on these models. This book facilitates these developments by providing rigorous mathematical definitions and propositions for the main elements of GSP and by paying attention to the validity of models relative to the data. Ilya Shmulevich and Edward Dougherty cover real-world situations and explain their mathematical modeling in relation to systems biology and systems medicine.

Genomic Signal Processing makes a major contribution to computational biology, systems biology, and translational genomics by providing a self-contained explanation of the fundamental mathematical issues facing researchers in four areas: classification, clustering, network modeling, and network intervention.

Review:

"Genomic Signal Processing makes a major contribution to computational biology, systems biology, and translational genomics by providing a self-contained explanation of the fundamental mathematical issues facing researchers in four areas: classification, clustering, network modeling, and network intervention. . . . The authors' substantial accomplishments in this area will inspire researchers and students alike. The book provides a much-needed stepping stone so that researchers can cross the gap on this front in their efforts. Also assuredly, it will be a delight to read for anyone who is encountering the topic for the first time and is wishing to exploit the current findings and interpretations in systems biology."--Current Engineering Practice

"Overall, this book should be useful for individuals with a background in computer science and machine learning who wish to see the applications of mathematics to genomics."--Leon Glass, SIAM Review

Endorsement:

"There is a genuine need for this concise, informative, clearly written book. In systems biology, engineers, mathematicians, and computer scientists are collaborating increasingly with biologists and researchers in medicine. This book goes a long way toward narrowing the gap on this front, and it lays a rigorous foundation for a new discipline."--Olli Yli-Harja, Tampere University of Technology

Table of Contents

Series:

Subject Areas:

VISIT OUR MATH WEBSITE

Shopping Cart:

  • For ebooks:

Our eBook editions are available
from these online vendors:

  • Google Play eBook Store
  • Kno eBook Store
  • Many of our ebooks are available through
    library electronic resources including these platforms:

  • Books at JSTOR
  • Ebrary
  • Ebook Library
  • EBSCO Ebooks
  • MyiLibrary
  • Dawsonera (UK)

  • Shopping Cart:

    • For hardcover/paperback orders:

      For hardcover/paperback orders in the United States, Canada, Latin America, Asia, and Australia

      Hardcover: $87.50 ISBN: 9780691117621

      For hardcover/paperback orders in Europe, Africa, the Middle East, and India, and Pakistan

      Hardcover: £61.00 ISBN: 9780691117621

      Add to shopping cart

      Prices subject to change without notice

      File created: 11/10/2014

    Questions and comments to: webmaster@press.princeton.edu
    Princeton University Press

    New Book E-mails
    New In Print
    PUP Blog
    Videos/Audios
    Princeton APPS
    Sample Chapters
    Subjects
    Series
    Catalogs
    Princeton Legacy Library
    Textbooks
    Media/Reviewers
    Class Use
    Rights/Permissions
    Ordering
    Recent Awards
    Princeton Shorts
    Freshman Reading
    PUP Europe
    About Us
    Contact Us
    Links
    F.A.Q.
    MATH SITE
    PUP Home


    Bookmark and Share
    Send me emails
    about new books in:
    Mathematics
    Biological Sciences
    Applied Science and Engineering
    More Choices