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Add to basketPaperback. Condition: Brand New. 247 pages. 9.50x7.75x0.50 inches. In Stock.
Condition: New. pp. 268.
Language: English
Published by Elsevier Science Publishing Co Inc, 2022
ISBN 10: 0128229527 ISBN 13: 9780128229521
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Condition: New. pp. 268.
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Taschenbuch. Condition: Neu. Artificial Intelligence in Bioinformatics | From Omics Analysis to Deep Learning and Network Mining | Mario Cannataro (u. a.) | Taschenbuch | Englisch | 2022 | Elsevier Science | EAN 9780128229521 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Condition: new. Questo è un articolo print on demand.
Language: English
Published by Elsevier Science Publishing Co Inc Mai 2022, 2022
ISBN 10: 0128229527 ISBN 13: 9780128229521
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Artificial Intelligence in Bioinformatics: From Omics Analysis to Deep Learning and Network Mining reviews the main applications of the topic, from omics analysis to deep learning and network mining. The book includes a rigorous introduction on bioinformatics, also reviewing how methods are incorporated in tasks and processes. In addition, it presents methods and theory, including content for emergent fields such as Sentiment Analysis and Network Alignment. Other sections survey how Artificial Intelligence is exploited in bioinformatics applications, including sequence analysis, structure analysis, functional analysis, protein classification, omics analysis, biomarker discovery, integrative bioinformatics, protein interaction analysis, metabolic networks analysis, and much more. 268 pp. Englisch.
Language: English
Published by Elsevier Science Publishing Co Inc, 2022
ISBN 10: 0128229527 ISBN 13: 9780128229521
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial Intelligence in Bioinformatics: From Omics Analysis to Deep Learning and Network Mining reviews the main applications of the topic, from omics analysis to deep learning and network mining. The book includes a rigorous introduction on bioinformatics, also reviewing how methods are incorporated in tasks and processes. In addition, it presents methods and theory, including content for emergent fields such as Sentiment Analysis and Network Alignment. Other sections survey how Artificial Intelligence is exploited in bioinformatics applications, including sequence analysis, structure analysis, functional analysis, protein classification, omics analysis, biomarker discovery, integrative bioinformatics, protein interaction analysis, metabolic networks analysis, and much more.