
Deep Learning in Bioinformatics, 2nd Edition
Techniques and Applications in Practice
$455.94
- Paperback
450 pages
- Release Date
1 July 2026
Summary
Deep Learning in Bioinformatics: Techniques and Applications in Practice, Second Edition explores how deep learning can be utilized for addressing important problems in bioinformatics, including drug discovery, de novo molecular design, sequence analysis, protein structure prediction, gene expression regulation, protein classification, biomedical image processing and diagnosis, biomolecule interaction prediction, and in systems biology. The book also presents theoretical and practical success…
Book Details
| ISBN-13: | 9780443446290 |
|---|---|
| ISBN-10: | 0443446296 |
| Author: | Habib Izadkhah |
| Publisher: | Elsevier Science Publishing Co Inc |
| Imprint: | Academic Press Inc |
| Format: | Paperback |
| Number of Pages: | 450 |
| Edition: | 2nd |
| Release Date: | 1 July 2026 |
| Weight: | 450g |
| Dimensions: | 235mm x 191mm |
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About The Author
Habib Izadkhah
Dr. Habib Izadkhah is an Associate Professor at the Department of Computer Science, University of Tabriz, Iran. He worked in the industry for a decade as a software engineer before becoming an academic.
His research interests include algorithms and graphs, software engineering, and bioinformatics. More recently he has been working on the developing and applying Deep Learning to a variety of problems, dealing with biomedical images, speech recognition, text understanding, and generative models.
He has contributed to various research projects, authored a number of research papers in international conferences, workshops, and journals, and also has written five books, including Source Code Modularization: Theory and Techniques from Springer.
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