Advanced AI Techniques and Applications in Bioinformatics  book cover
1st Edition

Advanced AI Techniques and Applications in Bioinformatics




ISBN 9780367641696
Published October 18, 2021 by CRC Press
282 Pages 74 Color Illustrations

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Book Description

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:

  1. Focusses on the cross-disciplinary relation between computer science and biology and the role of machine learning methods in resolving complex problems in bioinformatics
  2. Provides a comprehensive and balanced blend of topics and applications using various advanced algorithms
  3. Presents cutting-edge research methodologies in the area of AI methods when applied to bioinformatics and innovative solutions
  4. Discusses the AI/ML techniques, their use, and their potential for use in common and future bioinformatics applications
  5. Includes recent achievements in AI and bioinformatics contributed by a global team of researchers

Table of Contents

Contents

Contributors..............................................................................................................vii

Editors........................................................................................................................xi

Chapter 1 An Artificial Intelligence-based Expert System for the Initial

Screening of COVID-19........................................................................1

Anurag Sharma, Hitesh Marwaha, Vikrant Sharma and Love Kumar

Chapter 2 An Insight into the Potential Role of Artificial Intelligence in

Bioinformatics..................................................................................... 17

Divya Bhatia and Deepak Malik

Chapter 3 AI-Based Natural Language Processing for the Generation of

Meaningful Information Electronic Health Record (EHR) Data....... 41

Kuldeep Singh Kaswan, Loveleen Gaur, Jagjit Singh

Dhatterwal, and Rajesh Kumar

Chapter 4 AI and Genomes for Decisions Regarding the Expression of

Genes...............................................................................................87

Abeedha Tu-Allah Khan and Haleema Qamar

Chapter 5 Implementation of Donor Recognition and Selection for

Bioinformatics Blood Bank Application........................................... 105

Soobia Saeed, N.Z. Jhanjhi, and Memood Naqvi

Chapter 6 Deep Learning Techniques for miRNA Sequence Analysis............. 139

Saswati Mahapatra, Jayashankar Das, David Correa

Martins-Jr, and Tripti Swarnkar

Chapter 7 Role of Machine Intelligence in Cancer Drug Discovery and

Development...................................................................................... 153

Kaushik Kumar Bharadwaj, Bijuli Rabha, Gaber El-Saber

Batiha, Debabrat Baishya, and Arabinda Ghosh

Chapter 8 Genome and Gene Editing by Artificial Intelligence Programs....... 165

Imran Zafar, Aamna Rafique, Javaria Fazal, Misbah Manzoor,

Qurat Ul Ain, and Rehab A. Rayan

Chapter 9 Artificial Neural Network (ANN) Techniques in Solving the

Protein Folding Problem................................................................... 189

Raghunath Satpathy

Chapter 10 Application of Machine Learning and Molecular Modeling in

Drug Discovery and Cheminformatics............................................. 201

Manish Kumar Tripathi, Sushant Kumar Shrivastava, S.

Karthikeyan, Dhiraj Sinha, and Abhigyan Nath

Chapter 11 Role of Advanced Artificial Intelligence Techniques in

Bioinformatics................................................................................... 215

Harshit Bhardwaj, Pradeep Tomar, Aditi Sakalle,

and Uttam Sharma

Chapter 12 A Bioinformatics Perspective on Artificial Intelligence in

Healthcare and Diagnosis: Applications, Implications, and

Limitations........................................................................................227

Anuradha Bhardwaj, Arun Solanki, and Vikrant Nain

Chapter 13 Accelerating Translational Medical Research by Leveraging

Artificial Intelligence: Digital Healthcare........................................ 243

G. M. Roopa, K. Shryavani, N. Pradeep, and Vicente Garcia Diaz

Index.......................................................................................................................265

...
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Editor(s)

Biography

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.