Deep Learning in Bioinformatics (ePub)
Techniques and Applications in Practice
(Sprache: Englisch)
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...
sofort als Download lieferbar
eBook (ePub)
148.00 €
74 DeutschlandCard Punkte
sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Deep Learning in Bioinformatics (ePub)“
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
Autoren-Porträt von 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.
Bibliographische Angaben
- Autor: Habib Izadkhah
- 2022, 380 Seiten, Englisch
- Verlag: Elsevier Science & Techn.
- ISBN-10: 0128238364
- ISBN-13: 9780128238363
- Erscheinungsdatum: 08.01.2022
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 98 MB
- Mit Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
Kopierschutz
Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.
Kommentar zu "Deep Learning in Bioinformatics"
0 Gebrauchte Artikel zu „Deep Learning in Bioinformatics“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Deep Learning in Bioinformatics".
Kommentar verfassen