Pattern Recognition in Computational Molecular Biology: Techniques and Approaches (Wiley Series in Bioinformatics)

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Description

A comprehensive overview of prime-performance pattern recognition techniques and approaches to Computational Molecular Biology

This book surveys the developments of techniques and approaches on pattern recognition associated with Computational Molecular Biology. Providing a broad coverage of the sector, the authors cover fundamental and technical information on these techniques and approaches, in addition to discussing their related problems. The text is composed of twenty nine chapters, organized into seven parts: Pattern Recognition in Sequences, Pattern Recognition in Secondary Structures, Pattern Recognition in Tertiary Structures, Pattern Recognition in Quaternary Structures, Pattern Recognition in Microarrays, Pattern Recognition in Phylogenetic Trees, and Pattern Recognition in Biological Networks.

  • Surveys the improvement of techniques and approaches on pattern recognition in biomolecular data
  • Discusses pattern recognition in number one, secondary, tertiary and quaternary structures, in addition to microarrays, phylogenetic trees and biological networks
  • Includes case studies and examples to further illustrate the concepts discussed within the book

Pattern Recognition in Computational Molecular Biology: Techniques and Approaches is a reference for practitioners and professional researches in Computer Science, Life Science, and Mathematics. This book also serves as a supplementary reading for graduate students and young researches taken with Computational Molecular Biology.

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