About this ebook
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.
About the author
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.
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