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Deep Learning in Bioinformatics: Techniques and Applications in Practice

Deep Learning in Bioinformatics: Techniques and Applications in Practice

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Deep Learning in Bioinformatics: Techniques and Applications in Practice

Deep Learning in Bioinformatics: Techniques and Applications in Practice

Category

Deep Learning

Bioinformatics

Author

Habib Izadkhah

Publication

Academic Press

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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.

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ISBN-10

0128238224

ISBN-13

978-0128238226

Publisher

Academic Press

Price

139.38

File Type

PDF

Page No.

380

Habib Izadkhah

Review

Provides the most current research advances in the field of computational modeling and its applications in science and engineering

From the Back Cover

Deep Learning in Bioinformatics: Techniques and Applications in Practice introduces Deep Learning in an easy-to-understand way, and then 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 systems biology. The book also presents the recent theoretical and practical successes of Deep Learning in the bioinformatics domain, pointing out the problems which are suitable to utilize Deep Learning and suggest future research directions. Dr. Izadkhah provides valuable insights and will help researchers to use Deep Learning techniques in their biological and bioinformatics studies as a starting point.

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