Deep Learning in Bioinformatics: Techniques and Applications in Practice

Deep Learning in Bioinformatics: Techniques and Applications in Practice, authored by Habib Izadkhah, offers a comprehensive introduction to the application of deep learning techniques in bioinformatics. This book aims to simplify the understanding of deep learning and its potential in addressing critical problems within the bioinformatics field, 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 systems biology.

The book provides theoretical and practical insights into the successes of deep learning in bioinformatics, highlighting challenges and suggesting future research directions. Dr. Izadkhah’s work will serve as a valuable resource for researchers looking to leverage deep learning techniques in their biological and bioinformatics studies.

Deep Learning in Bioinformatics: Techniques and Applications in Practice is an essential read for those interested in the intersection of deep learning and bioinformatics. It presents state-of-the-art algorithms and introduces deep learning libraries relevant to the field, providing readers with a solid foundation for further exploration and research.

Publication Details:

Publisher: Elsevier Science

Publication Date: January 8, 2022

Language: English

ISBN: 9780128238226, 9780128238363