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(Ebook) Pattern Recognition in Computational Molecular Biology: Techniques and Approaches by Mourad Elloumi, Costas Iliopoulos, Jason T. L. Wang, Albert Y. Zomaya ISBN 9781118893685, 1118893689

  • SKU: EBN-5436220
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Instant download (eBook) Pattern Recognition in Computational Molecular Biology: Techniques and Approaches after payment.
Authors:Mourad Elloumi, Costas Iliopoulos, Jason T. L. Wang, Albert Y. Zomaya
Pages:656 pages.
Year:2015
Editon:1
Publisher:Wiley
Language:english
File Size:20.56 MB
Format:pdf
ISBNS:9781118893685, 1118893689
Categories: Ebooks

Product desciption

(Ebook) Pattern Recognition in Computational Molecular Biology: Techniques and Approaches by Mourad Elloumi, Costas Iliopoulos, Jason T. L. Wang, Albert Y. Zomaya ISBN 9781118893685, 1118893689

A comprehensive overview of high-performance pattern recognition techniques and approaches to Computational Molecular BiologyThis 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 dataDiscusses pattern recognition in primary, secondary, tertiary and quaternary structures, as well as microarrays, phylogenetic trees and biological networksIncludes 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.
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