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Advanced AI Techniques and Applications in Bioinformatics

The advanced AI techniques are essential for resolving various problematic aspects emerging in the field of bioinformatics. This book covers the recent approaches in artificial intelligence and machine learning methods and their applications in Genome and Gene editing, cancer drug discovery classification, and the protein folding algorithms among others. Les mer

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The advanced AI techniques are essential for resolving various problematic aspects emerging in the field of bioinformatics. This book covers the recent approaches in artificial intelligence and machine learning methods and their applications in Genome and Gene editing, cancer drug discovery classification, and the protein folding algorithms among others. Deep learning, which is widely used in image processing, is also applicable in bioinformatics as one of the most popular artificial intelligence approaches. The wide range of applications discussed in this book are an indispensable resource for computer scientists, engineers, biologists, mathematicians, physicians, and medical informaticists.





Features:








Focusses on the cross-disciplinary relation between computer science and biology and the role of machine learning methods in resolving complex problems in bioinformatics







Provides a comprehensive and balanced blend of topics and applications using various advanced algorithms







Presents cutting-edge research methodologies in the area of AI methods when applied to bioinformatics and innovative solutions







Discusses the AI/ML techniques, their use, and their potential for use in common and future bioinformatics applications







Includes recent achievements in AI and bioinformatics contributed by a global team of researchers

Detaljer

Forlag
CRC Press
Innbinding
Innbundet
Språk
Engelsk
Sider
282
ISBN
9780367641696
Utgivelsesår
2021
Format
23 x 16 cm

Om forfatteren

Prof. Loveleen Gaur is the Professor and Program Director (Artificial Intelligence


and Business Intelligence and Data Analytics) of the Amity International Business


School, Amity University, Noida, India. She is a senior IEEE member and series editor


with CRC Press and Wiley. Prof. Gaur is an established author and researcher;


she has filed five patents and two copyrights in AI-IoT. For over 18 years she served


in India and abroad in different capacities. She has specialized in the fields of artificial


intelligence, the Internet of Things, data analytics, data mining, and business


intelligence. Prof. Gaur has pursued research in truly inter-disciplinary areas and has


authored and co-authored books with renowned international and national publishers


like Elsevier, Springer, and Taylor & Francis. She was invited to be guest editor for


reputed Springer and Emerald Q1 journals. She has published many research papers


in SCI and Q1 journals. She has chaired various positions in international conferences


of repute and is a reviewer with top-rated journals of IEEE, SCI, and ABDC.


 


Dr. Arun Solanki is an Assistant Professor in the Department of Computer Science


and Engineering at Gautam Buddha University, Greater Noida, India. He received


his Ph.D. in Computer Science and Engineering from Gautam Buddha University in


2014. He has supervised more than 60 dissertations and has published many research


articles in Scopus indexed international journals. Dr. Solanki is the editor of several


published books and a reviewer in journals published by reputed publishers.


 


Dr. Samuel Fosso Wamba is a Professor at Toulouse Business School in France.


He earned his Ph.D. in industrial engineering at the Polytechnic School of Montreal,


Canada. His current research focuses on SCM, E&M-commerce, IT-enabled social


inclusion, blockchain, social media, business analytics, big data, and artificial intelligence.


He is academic co-founder of RFID Academia, and founder and CEO of


e-m-RFID. He has published papers in IS and OM journals and conferences. He is


the guest editor of various special issues on IT/RFID/big data for various IS and OM


conferences and journals. He is the head of the newly created Artificial Intelligence


and Business Analytics Cluster at Toulouse Business School.


 


Dr. Noor Zaman Jhanjhi is an Associate Professor at Taylor University, Malaysia,


with 20 years of rich experience. He is an associate editor for several reputable journals


including IEEE Access and PC, and a board member for several IEEE conferences


around the globe. He is an active reviewer for a series of quality journals. He


has authored several research papers in WoS/ISI indexed journals and in impact


factor research IEEE journals, has edited 12 books in computer science, and has


supervised a number of postgraduate students. He has successfully completed more


than 19 international funded research grants.

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