Advanced AI Techniques and Applications in Bioinformatics
Gebonden Engels 2021 1e druk 9780367641696Samenvatting
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
Specificaties
Lezersrecensies
Inhoudsopgave
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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