Overview
- Covers recent advances and applications of nature-inspired computing techniques
- Discusses genomic profiling, gene expression data classification, DNA computation, and systems and network biology
- Covers role of nature-inspired techniques in various diseases and disorders, including cancer detection and diagnosis
Part of the book series: Studies in Computational Intelligence (SCI, volume 1066)
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Table of contents (16 chapters)
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Nature-Inspired Computing in Cancer Research
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Nature-Inspired Computing in Drug Design, Development, and Therapeutics
Keywords
About this book
This book encapsulates and occupies recent advances and state-of-the-art applications of nature-inspired computing (NIC) techniques in the field of bioinformatics and computational biology, which would aid medical sciences in various clinical applications. This edited volume covers fundamental applications, scope, and future perspectives of NIC techniques in bioinformatics including genomic profiling, gene expression data classification, DNA computation, systems and network biology, solving personalized therapy complications, antimicrobial resistance in bacterial pathogens, and computer-aided drug design, discovery, and therapeutics. It also covers the role of NIC techniques in various diseases and disorders, including cancer detection and diagnosis, breast cancer, lung disorder detection, disease biomarkers, and potential therapeutics identifications.
Editors and Affiliations
About the editor
Bibliographic Information
Book Title: Nature-Inspired Intelligent Computing Techniques in Bioinformatics
Editors: Khalid Raza
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-981-19-6379-7
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
Hardcover ISBN: 978-981-19-6378-0Published: 01 November 2022
Softcover ISBN: 978-981-19-6381-0Published: 02 November 2023
eBook ISBN: 978-981-19-6379-7Published: 31 October 2022
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XX, 328
Number of Illustrations: 21 b/w illustrations, 47 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Health Informatics, Cancer Research, Genetics and Genomics, Bioinformatics