Nature-Inspired Intelligent Computing Techniques in Bioinformatics -

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Résumé :
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.

Biographie:
Dr. Khalid Raza is an Assistant Professor at the Department of Computer Science, Jamia Millia Islamia (Central University), New Delhi. Dr. Raza has also served as an ICCR Chair Professor at Faculty of Computer & Information Sciences, Ain Shams University, Cairo, Egypt. He has over 12 years of teaching & research experience in the field of Computational Intelligence, Bioinformatics, and related areas. He has contributed over 90 research articles in reputed Journals and Edited Books, authored/edited/co-edited 5 books with reputed publishers, including Springer, Elsevier, and CRC. He is an Academic Editor of PeerJ Computer Science, Guest Editor of Natural Product Communication. Dr. Raza has delivered several keynote addresses, invited talks, public lectures, and seminars in National and International conferences and workshops, and chaired technical sessions in various National and International conferences. He has also executed two Indian governments funded research projects. Dr. Raza is a member of MIR Lab (USA), CSI (India), and SCRS (India). His research interest lies in Computational Intelligence and its applications in Bioinformatics, Viro-informatics, and Health-informatics.

Sommaire:
Part-I: Preliminaries.- Chapter 1. The Scope and Applications of Nature-Inspired Computing in Bioinformatics.- Chapter 2. Leveraging Healthcare System with Nature-Inspired Computing Techniques: An Overview and Future Perspective.- Part-II: Nature-Inspired Computing in Cancer Research.- Chapter 3. Nature-Inspired Computing in Breast Cancer Research: Overview, Perspective and Challenges of the State-of-the-art Techniques.- Chapter 4. Advances in Genomic Profiling of Colorectal Cancer using Nature[1]Inspired Computing Techniques.- Chapter 5. Potential Role of the Nature-Inspired Algorithms for Classification of High-dimensional and Complex Gene Expression Data.- Chapter 6. Optimized Nature-Inspired Computing Algorithms for Lung Disorder Detection.- Chapter 7. Overview and Classification of Swarm Intelligence-based Nature[1]Inspired Computing Algorithms and their Applications in Cancer Detection and Diagnosis.- Chapter 8. Nature-Inspired Computing: Scope and applications of Artificial Immune Systems towards Analysis and Diagnosis of Complex Problems.- Chapter 9. Nature-Inspired Computing: Bat echolocation to BAT algorithm.- Chapter 10. Social, Emotional and Ethical (SEE) Attributes, Which Configures Our Bioinformatics Systems to Activate the Hidden Forces to Shape Human Decisions.- Part III: Nature-Inspired Computing in Drug Design, Development, and Therapeutics.- Chapter 11. Applications of Nature-Inspired Computing and Artificial Intelligence Algorithms in Solving Personalized Therapy Complications.- Chapter 12. Role of Nature-Inspired Intelligence in Genomic Diagnosis of Antimicrobial Resistance.- Chapter 13. Consequential Innovations in Nature-Inspired Intelligent Computing Techniques for Biomarkers and Potential Therapeutics Identification.- Chapter 14. Nature-Inspired Computing Techniques in Drug Design, Development, and Therapeutics.- Chapter 15. Illustrious Implications of Nature-Inspired Computing Methods in Therapeutics and Computer-Aided Drug Design.- Chapter 16. Nature-based Computing Bioinformatics Approaches in Drug Discovery against Promising Molecular Targets Carbonic Anhydrases and Se[1]rine/Threonine Kinases for Cancer Treatment