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Computational Methods for Predicting Post-Translational Modification Sites: 2499 (Methods in Molecular Biology) - Softcover
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This volume describes computational approaches to predict multitudes of PTM sites. Chapters describe in depth approaches on algorithms, state-of-the-art Deep Learning based approaches, hand-crafted features, physico-chemical based features, issues related to obtaining negative training, sequence-based features, and structure-based features. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols.
Authoritative and cutting-edge, Authoritative and cutting-edge, Computational Methods for Predicting Post-Translational Modification Sites aims to be a useful guide for researchers who are interested in the field of PTM site prediction.
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This volume describes computational approaches to predict multitudes of PTM sites. Chapters describe in depth approaches on algorithms, state-of-the-art Deep Learning based approaches, hand-crafted features, physico-chemical based features, issues related to obtaining negative training, sequence-based features, and structure-based features. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols.
Authoritative and cutting-edge, Authoritative and cutting-edge, Computational Methods for Predicting Post-Translational Modification Sites aims to be a useful guide for researchers who are interested in the field of PTM site prediction.
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Computational Methods for Predicting Post-Translational Modification Sites
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes cutting-edge methods and protocolsProvides step-by-step detail essential for reproducible resultsContains key notes and implementation advice from the expertsThis volume describes computational approaches to predict mult. Bestandsnummer des Verkäufers 877455682
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Computational Methods for Predicting Post-Translational Modification Sites (Methods in Molecular Biology)
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Computational Methods for Predicting Post-Translational Modification Sites
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Springer US, Springer US Jun 2023, 2023
ISBN 10: 1071623192
ISBN 13: 9781071623190
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This volume describes computational approaches to predict multitudes of PTM sites. Chapters describe in depth approaches on algorithms, state-of-the-art Deep Learning based approaches, hand-crafted features, physico-chemical based features, issues related to obtaining negative training, sequence-based features, and structure-based features. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols.Authoritative and cutting-edge, Authoritative and cutting-edge, Computational Methods for Predicting Post-Translational Modification Sites aims to be a useful guide for researchers who are interested in the field of PTM site prediction.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 344 pp. Englisch. Bestandsnummer des Verkäufers 9781071623190
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Computational Methods for Predicting Post-Translational Modification Sites
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume describes computational approaches to predict multitudes of PTM sites. Chapters describe in depth approaches on algorithms, state-of-the-art Deep Learning based approaches, hand-crafted features, physico-chemical based features, issues related to obtaining negative training, sequence-based features, and structure-based features. Written in the format of the highly successfulMethods in Molecular Biologyseries, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols.Authoritative and cutting-edge,Authoritative and cutting-edge,Computational Methods for Predicting Post-Translational Modification Sites aimsto be ausefulguide for researchers who are interested in the field of PTM site prediction. 344 pp. Englisch. Bestandsnummer des Verkäufers 9781071623190
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Computational Methods for Predicting Post-Translational Modification Sites
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume describes computational approaches to predict multitudes of PTM sites. Chapters describe in depth approaches on algorithms, state-of-the-art Deep Learning based approaches, hand-crafted features, physico-chemical based features, issues related to obtaining negative training, sequence-based features, and structure-based features. Written in the format of the highly successfulMethods in Molecular Biologyseries, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols.Authoritative and cutting-edge,Authoritative and cutting-edge,Computational Methods for Predicting Post-Translational Modification Sites aimsto be ausefulguide for researchers who are interested in the field of PTM site prediction. Bestandsnummer des Verkäufers 9781071623190
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Computational Methods for Predicting Post-Translational Modification Sites
Verlag:
Springer-Verlag New York Inc., 2023
ISBN 10: 1071623192
ISBN 13: 9781071623190
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Computational Methods for Predicting Post-Translational Modification Sites: 2499 (Methods in Molecular Biology, 2499)
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Paperback. Zustand: Brand New. translation edition. 343 pages. 10.00x7.01x0.72 inches. In Stock. Bestandsnummer des Verkäufers x-1071623192
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Computational Methods for Predicting Post-Translational Modification Sites: 2499
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Computational Methods for Predicting Post-Translational Modification Sites: 2499
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Computational Methods for Predicting Post-Translational Modification Sites: 2499
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