Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology - Couverture souple

9781071626191: Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology

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ISBN 10 : 1071626191 ISBN 13 : 9781071626191

Editeur : Humana, 2022

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This volume provides protocols for computational, statistical, and machine learning methods that are mainly applied to the study of metabolic engineering, synthetic biology, and disease applications. These techniques support the latest progress in cross-disciplinary research that integrates the different scales of biological complexity. The topics covered in this book are geared toward researchers with a background in engineering, computational analytical, and modeling experience and cover a broad range of topics in computational and machine learning approaches. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.

Comprehensive and practical, Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology is a valuable resource for any researcher or scientist who wants to learn more about the latest computational methods and how they are applied toward the understanding and prediction of complex biology.

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�diteurHumana
Date d'�dition2022
ISBN 10 1071626191
ISBN 13 9781071626191
ReliureBroch�
Langueanglais
Nombre de pages468
�diteurSelvarajoo Kumar
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9781071626160: Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology

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ISBN 10 : 1071626167 ISBN 13 : 9781071626160
Editeur : Springer-Verlag New York Inc., 2022
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Etat : Sehr gut. Zustand: Sehr gut | Seiten: 468 | Sprache: Englisch | Produktart: B�cher. N� de r�f. du vendeur 42429149/2

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Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology

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Kartoniert / Broschiert. Etat : 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 provides protocols for computational, statistical,. N� de r�f. du vendeur 1117411323

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Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology

Kumar Selvarajoo

Edit� par Springer US Okt 2022, 2022

ISBN 10 : 1071626191 ISBN 13 : 9781071626191

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume provides protocols for computational, statistical, and machine learning methods that are mainly applied to the study of metabolic engineering, synthetic biology, and disease applications. These techniques support the latest progress in cross-disciplinary research that integrates the different scales of biological complexity. The topics covered in this book are geared toward researchers with a background in engineering, computational analytical, and modeling experience and cover a broad range of topics in computational and machine learning approaches. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.Comprehensive and practical, Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology is a valuable resource for any researcher or scientist who wants to learn more about the latest computational methods and how they are applied toward the understanding and prediction of complex biology. 468 pp. Englisch. N� de r�f. du vendeur 9781071626191

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Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology

Kumar Selvarajoo

Edit� par Springer US, Springer US Okt 2022, 2022

ISBN 10 : 1071626191 ISBN 13 : 9781071626191

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Taschenbuch. Etat : Neu. Neuware -This volume provides protocols for computational, statistical, and machine learning methods that are mainly applied to the study of metabolic engineering, synthetic biology, and disease applications. These techniques support the latest progress in cross-disciplinary research that integrates the different scales of biological complexity. The topics covered in this book are geared toward researchers with a background in engineering, computational analytical, and modeling experience and cover a broad range of topics in computational and machine learning approaches. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.Comprehensive and practical, Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology is a valuable resource for any researcher or scientist who wants to learn more about the latest computational methods and how they are applied toward the understanding and prediction of complex biology.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 468 pp. Englisch. N� de r�f. du vendeur 9781071626191

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Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology

Kumar Selvarajoo

Edit� par Springer US, Springer US, 2022

ISBN 10 : 1071626191 ISBN 13 : 9781071626191

Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume provides protocols for computational, statistical, and machine learning methods that are mainly applied to the study of metabolic engineering, synthetic biology, and disease applications. These techniques support the latest progress in cross-disciplinary research that integrates the different scales of biological complexity. The topics covered in this book are geared toward researchers with a background in engineering, computational analytical, and modeling experience and cover a broad range of topics in computational and machine learning approaches. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.Comprehensive and practical, Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology is a valuable resource for any researcher or scientist who wants to learn more about the latest computational methods and how they are applied toward the understanding and prediction of complex biology. N� de r�f. du vendeur 9781071626191

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