Nature-Inspired Intelligent Computing Techniques in Bioinformatics

This book highlights recent advances and state-of-the-art applications of nature-inspired computing (NIC) techniques in bioinformatics and computational biology, aiding medical sciences in clinical applications. It covers genomic profiling, gene expression data classification, DNA computation, systems and network biology, personalized therapy, antimicrobial resistance, and computer-aided drug design.

Format: Hardback
Length: 328 pages
Publication date: 01 November 2022
Publisher: Springer Verlag, Singapore

This comprehensive book delves into the cutting-edge advancements and state-of-the-art applications of nature-inspired computing (NIC) techniques in the realm of bioinformatics and computational biology, offering immense potential for advancements in medical sciences. Spanning a wide range of fundamental applications, this edited volume explores the scope and future perspectives of NIC techniques in bioinformatics, encompassing genomic profiling, gene expression data classification, DNA computation, systems and network biology, personalized therapy complications, antimicrobial resistance in bacterial pathogens, computer-aided drug design, discovery, and therapeutics. Furthermore, it delves into the crucial role of NIC techniques in various diseases and disorders, such as cancer detection and diagnosis, breast cancer, lung disorder detection, disease biomarkers, and the identification of potential therapeutics. By presenting a wealth of knowledge and insights, this book serves as a valuable resource for researchers, scientists, and healthcare professionals seeking to leverage the power of nature-inspired computing to address complex biological challenges and improve patient outcomes.
This comprehensive book delves into the cutting-edge advancements and state-of-the-art applications of nature-inspired computing (NIC) techniques in the realm of bioinformatics and computational biology, offering immense potential for advancements in medical sciences. Spanning a wide range of fundamental applications, this edited volume explores the scope and future perspectives of NIC techniques in bioinformatics, encompassing genomic profiling, gene expression data classification, DNA computation, systems and network biology, personalized therapy complications, antimicrobial resistance in bacterial pathogens, computer-aided drug design, discovery, and therapeutics. Furthermore, it delves into the crucial role of NIC techniques in various diseases and disorders, such as cancer detection and diagnosis, breast cancer, lung disorder detection, disease biomarkers, and the identification of potential therapeutics. By presenting a wealth of knowledge and insights, this book serves as a valuable resource for researchers, scientists, and healthcare professionals seeking to leverage the power of nature-inspired computing to address complex biological challenges and improve patient outcomes.

This comprehensive book delves into the cutting-edge advancements and state-of-the-art applications of nature-inspired computing (NIC) techniques in the realm of bioinformatics and computational biology, offering immense potential for advancements in medical sciences.

Spanning a wide range of fundamental applications, this edited volume explores the scope and future perspectives of NIC techniques in bioinformatics, encompassing genomic profiling, gene expression data classification, DNA computation, systems and network biology, personalized therapy complications, antimicrobial resistance in bacterial pathogens, computer-aided drug design, discovery, and therapeutics.

Furthermore, it delves into the crucial role of NIC techniques in various diseases and disorders, such as cancer detection and diagnosis, breast cancer, lung disorder detection, disease biomarkers, and the identification of potential therapeutics.

By presenting a wealth of knowledge and insights, this book serves as a valuable resource for researchers, scientists, and healthcare professionals seeking to leverage the power of nature-inspired computing to address complex biological challenges and improve patient outcomes.

Weight: 688g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811963780
Edition number: 1st ed. 2023