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Deep Learning Applications in Translational Bioinformatics
1st Edition - March 1, 2024
Editors: Khalid Raza, Debmalya Barh, Deepak Singh, Naeem Ahmad
Paperback ISBN:
9 7 8 - 0 - 4 4 3 - 2 2 2 9 9 - 3
Deep Learning Applications in Translational Bioinformatics, a new volume in the Advances in Ubiquitous Sensing Application for Healthcare series, offers a detailed overview of… Read more
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Deep Learning Applications in Translational Bioinformatics, a new volume in the Advances in Ubiquitous Sensing Application for Healthcare series, offers a detailed overview of basic bioinformatics, deep learning, various applications of deep learning in translational bioinformatics including deep learning ensembles, deep learning in protein classification, detection of various diseases, prediction of antiviral peptides, identification of antibiotic resistance, computer aided drug design and drug formulation.This new volume helps researchers working in the field of machine learning and bioinformatics to foster future research and development in ensemble deep learning and inspire new bioinformatics applications that cannot be attained by using traditional machine learning models.
- Addresses the practical application of deep learning algorithms to a wide range of bioinformatics challenges
- Presents integrative and multidisciplinary approaches to ubiquitous healthcare
- Includes case studies to illustrate the concepts discussed
Researchers and graduate students in bioinformatics, health informatics, and machine learning.
1. Deep Learning Ensembles in Translational Bioinformatics
2. Recursive Feature Elimination and Multi Support Vector Machine in Healthcare Analytics
3. Sensors-enabled Biomedical Decision Support System using Deep Learning and Fuzzy Logic
4. Prediction of Alzheimer's Disease Using Densely Convolutional Neural Network
5. Brain Tumor Detection from MRI Images using Shallow CNN
6. Pandemic Disease Detection Using Diffusional Convolutional Neural Network
7. Multiview Technique and Shallow CNN with Dropouts to Predict Antiviral Peptides
8. Deep Learning Methods for Protein Classification
9. Biosensors-based Identification of Antibiotic Resistance in Bacteria
10. Deep Learning for Fervent Gene Expression Analysis
11. Machine Learning-enforced Bioinformatics Approaches for Drug Discovery and Development
12. Role of Deep Learning in Predicting Drug Formulations and Delivery Systems
13. Deep Learning in Computer-aided Drug Design: A Case Study
14. Protein Structure Prediction with RNN and CNN: A Case Study
15. Generative Adversarial Networks in Protein and Ligand Structure Generation: A Case Study
16. Artificial Neural Networks for Prediction of Psychological Threats: A Case Study
2. Recursive Feature Elimination and Multi Support Vector Machine in Healthcare Analytics
3. Sensors-enabled Biomedical Decision Support System using Deep Learning and Fuzzy Logic
4. Prediction of Alzheimer's Disease Using Densely Convolutional Neural Network
5. Brain Tumor Detection from MRI Images using Shallow CNN
6. Pandemic Disease Detection Using Diffusional Convolutional Neural Network
7. Multiview Technique and Shallow CNN with Dropouts to Predict Antiviral Peptides
8. Deep Learning Methods for Protein Classification
9. Biosensors-based Identification of Antibiotic Resistance in Bacteria
10. Deep Learning for Fervent Gene Expression Analysis
11. Machine Learning-enforced Bioinformatics Approaches for Drug Discovery and Development
12. Role of Deep Learning in Predicting Drug Formulations and Delivery Systems
13. Deep Learning in Computer-aided Drug Design: A Case Study
14. Protein Structure Prediction with RNN and CNN: A Case Study
15. Generative Adversarial Networks in Protein and Ligand Structure Generation: A Case Study
16. Artificial Neural Networks for Prediction of Psychological Threats: A Case Study
- No. of pages: 250
- Language: English
- Published: March 1, 2024
- Imprint: Academic Press
- Paperback ISBN: 9780443222993
KR
Khalid Raza
Dr. Khalid Raza is working as an Assistant Professor (Reader-scale) at the Department of Computer Science, Jamia Millia Islamia, New Delhi. Earlier he worked as an “ICCR Chair Professor” at Ain Shams University, Cairo, Egypt. He has over 12 years of teaching & research experiments in the field of Translational Bioinformatics and Computational Intelligence. He has contributed over 100 research articles in reputed Journals and Edited Books. Dr. Raza has authored/edited 6 Books published by reputed publishers like Springer-Nature, Elsevier, and CRC Press. Dr. Raza is an Academic Editor of PeerJ Computer Science International Journal, and Guest Editor of the Journal Natural Product Communications. He has an active collaborations with the scientists from leading institutions of India and abroad, including AIIMS (New Delhi), ICMR-NIP, CSIR-IGIB, DRDO-INMAS, NIPGR, CCRUM, DPSRU, UFMG (Brazil), UoT Sydney (Australia), etc. He has received grants for two Govt. funded research projects and worked as Principal Investigator. He is recipient of the Indian Academy of Sciences Faculty Summer Research Fellowship. He is a reviewer of several international journals, a member of several conference review committees. Recently, Dr. Raza has been featured in the list of Top 2% Scientists released by Stanford University (USA) in collaboration with Elsevier. His research interest lies in Machine Learning and its applications in Bioinformatics and Health-informatics.
Affiliations and expertise
Department of Computer Science, Jamia Millia Islamia (Central University),
Jamia Nagar, New Delhi
IndiaDB
Debmalya Barh
Dr. Debmalya Barh is the Founder and Principal Scientist of Institute of Integrative Omics and Applied Biotechnology (IIOAB), INDIA. He is having 15+ years leading academic, healthcare, molecular diagnostic, and bioinformatics industry experience and an expert in integrative omics-based biomarkers, targets and targeted drug discovery, and personalized medicine in cancers and various complex diseases. He works with more than 400 scientists from 100+ top ranked organizations across 40+ countries and has 220+ publications and a branded editor for 10+ cutting-edge omics related reference books. He is a reviewer of journals from Nature publications, Elsevier and AACR Journals, CMAJ, NAR, Molecular Medicine, Gene Therapy, BMC Series, Bioinformatics, PLOS etc. Due to his significant contribution in the field; he has been recognized by Who's Who in the World and Limca Book of Records.
Affiliations and expertise
Federal University of Minas Gerais
Belo Horizonte
BrazilDS
Deepak Singh
Dr. Deepak Singh is an Assistant Professor at the Department of Computer Science and Engineering, National Institute of Technology (NIT) Raipur, India. He has over 10 years of teaching and research experience in various academic institutes. He has published over 30 refereed articles. He served as a reviewer of several journals. He has delivered several invited talks and presented papers in reputed International conferences and workshops. His research interests include evolutionary computation, machine learning, and data mining.
Affiliations and expertise
Department of Computer Science and Engineering,
National Institute of Technology Raipur
Chhattisgarh
IndiaNA
Naeem Ahmad
Dr. Naeem Ahmad is an Assistant Professor at the Department of Computer Science and Engineering, National Institute of Technology (NIT) Raipur, India. He has over 10 years of teaching/research experience in various academic institutions. He has published over 25 research articles and served as reviewers for various journals and conferences. His research interests lies in deep learning, Big Data, and IoT.
Affiliations and expertise
Department of Computer Science and Engineering,
National Institute of Technology Raipur
Chhattisgarh
India