Deep Learning Applications in Translational Bioinformatics
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Deep Learning Applications in Translational Bioinformatics

Deep Learning Applications in Translational Bioinformatics

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International Edition


About the Book

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.

Table of Contents:
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


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Product Details
  • ISBN-13: 9780443222993
  • Publisher: Elsevier Science Publishing Co Inc
  • Publisher Imprint: Academic Press Inc
  • Height: 235 mm
  • No of Pages: 298
  • Width: 191 mm
  • ISBN-10: 0443222991
  • Publisher Date: 07 Mar 2024
  • Binding: Paperback
  • Language: English
  • Weight: 566 gr


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