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Scalable Pattern Recognition Algorithms

Applications in Computational Biology and Bioinformatics

Authors: Maji, Pradipta, Paul, Sushmita

  • Reviews the development of scalable pattern recognition algorithms for computational biology and bioinformatics
  • Includes numerous examples and experimental results to support the theoretical concepts described
  • Concludes each chapter with directions for future research and a comprehensive bibliography
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eBook $109.00
price for USA (gross)
  • ISBN 978-3-319-05630-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.00
price for USA
  • ISBN 978-3-319-05629-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $139.00
price for USA
  • ISBN 978-3-319-37965-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern recognition models. The text reviews both established and cutting-edge research, providing a careful balance of theory, algorithms, and applications, with a particular emphasis given to applications in computational biology and bioinformatics. Features: integrates different soft computing and machine learning methodologies with pattern recognition tasks; discusses in detail the integration of different techniques for handling uncertainties in decision-making and efficiently mining large biological datasets; presents a particular emphasis on real-life applications, such as microarray expression datasets and magnetic resonance images; includes numerous examples and experimental results to support the theoretical concepts described; concludes each chapter with directions for future research and a comprehensive bibliography.

About the authors

Dr. Pradipta Maji is an Associate Professor in the Machine Intelligence Unit at the Indian Statistical Institute, Kolkata, India. Dr. Sushmita Paul is a Research Associate at the same institution.

Reviews

From the book reviews:

“This book provides unique insights into how various soft computing and machine learning methods can be formulated and used in building efficient pattern recognition models. … This is a great resource to students and researchers in the fields of computer science, electrical and biomedical engineering. The author has explained the complex ideas through numerous examples which make conceptualization easy. … The well-organized chapters as well as use of different notations and typescripts make it a user-friendly reference.” (Parthiv Amin, Doody’s Book Reviews, August, 2014)


Table of contents (11 chapters)

  • Introduction to Pattern Recognition and Bioinformatics

    Maji, Pradipta (et al.)

    Pages 1-42

  • Neural Network Tree for Identification of Splice Junction and Protein Coding Region in DNA

    Maji, Pradipta (et al.)

    Pages 45-66

  • Design of String Kernel to Predict Protein Functional Sites Using Kernel-Based Classifiers

    Maji, Pradipta (et al.)

    Pages 67-101

  • Rough Sets for Selection of Molecular Descriptors to Predict Biological Activity of Molecules

    Maji, Pradipta (et al.)

    Pages 105-129

  • f-Information Measures for Selection of Discriminative Genes from Microarray Data

    Maji, Pradipta (et al.)

    Pages 131-153

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-3-319-05630-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.00
price for USA
  • ISBN 978-3-319-05629-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $139.00
price for USA
  • ISBN 978-3-319-37965-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Scalable Pattern Recognition Algorithms
Book Subtitle
Applications in Computational Biology and Bioinformatics
Authors
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-05630-2
DOI
10.1007/978-3-319-05630-2
Hardcover ISBN
978-3-319-05629-6
Softcover ISBN
978-3-319-37965-4
Edition Number
1
Number of Pages
XXII, 304
Number of Illustrations and Tables
45 b/w illustrations, 10 illustrations in colour
Topics