Deep Learning Bioinformatics Techniques by Izadkhah (12 results)

Condition: As New. Unread book in perfect condition.

Condition: New. In English.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New. 2026. 2nd Edition. paperback. . . . . .

Condition: New. Introduces deep learning in an easy-to-understand way Presents how deep learning can be utilized for addressing some important problems in bioinformatics Presents the state-of-the-art algorithms in deep learning and bioinformatics.

Paperback. Condition: Brand New. 450 pages. 7.52x1.49x9.25 inches. In Stock.

Condition: New. 2026. 2nd Edition. paperback. . . . . . Books ship from the US and Ireland.

Taschenbuch. Condition: Neu. Neuware - 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 successes of deep learning in bioinformatics, pointing out problems and suggesting future research directions. This updated edition includes several new chapters, applications, and examples for new Deep Learning advances and techniques.Dr. Izadkhah provides valuable insights and will help researchers use deep learning techniques in their biological and bioinformatics studies. …

paperback. Condition: New. New .Ships From Multiple Locations. book.

Taschenbuch. Condition: Neu. Neuware - Deep Learning in Bioinformatics: Techniques and Applications in Practice introduces the topic in an easy-to-understand way, exploring how it 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 successes of deep learning in bioinformatics, pointing out problems and suggesting future research directions. Dr. Izadkhah provides valuable insights and will help researchers use deep learning techniques in their biological and bioinformatics studies. …