A comprehensive overview of high-performance pattern recognition
techniques and approaches to Computational Molecular Biology
This book surveys the developments of techniques and approaches on
pattern recognition related to Computational Molecular Biology.
Providing a broad coverage of the field, the authors cover fundamental
and technical information on these techniques and approaches, as well as
discussing their related problems. The text consists 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 development of techniques and approaches on pattern
recognition in biomolecular data
- Discusses pattern recognition in primary, secondary, tertiary and
quaternary structures, as well as microarrays, phylogenetic trees and
biological networks
- Includes case studies and examples to further illustrate the concepts
discussed in 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 interested in Computational Molecular Biology.
