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Deep Learning Applications in Translational Bioinformatics: Advances in ubiquitous sensing applications for healthcare, cartea 15

Editat de Khalid Raza, Debmalya Barh, Deepak Singh, Naeem Ahmad
en Limba Engleză Paperback – 7 mar 2024
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, and 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 foster future research and development.


  • 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
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Specificații

ISBN-13: 9780443222993
ISBN-10: 0443222991
Pagini: 298
Dimensiuni: 191 x 235 mm
Greutate: 0.52 kg
Editura: ELSEVIER SCIENCE
Seria Advances in ubiquitous sensing applications for healthcare


Cuprins

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