Nature-Inspired Intelligent Computing Techniques in Bioinformatics

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.