Deep Learning in Bioinformatics: Techniques and Applications in Practice - Tapa blanda

Izadkhah

 
9780128238226: Deep Learning in Bioinformatics: Techniques and Applications in Practice
Tapa blanda
ISBN 10: 0128238224 ISBN 13: 9780128238226
Editorial: Academic Press, 2022

Sinopsis

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.

  • 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
  • Introduces deep learning libraries in bioinformatics

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

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.

De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Academic Press
Año de publicación
2022
Idioma
Inglés
ISBN 10 
0128238224
ISBN 13 
9780128238226
Encuadernación
Tapa blanda
Número de páginas
380
Contacto del fabricante
Academic Press
https://shop.elsevier.com/

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