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Machine Learning and Deep Learning in Computational Toxicology
Book 3 of 5: Computational Methods in Engineering & the SciencesSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 62.55
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![Stock image for Advances in Computational Toxicology: Methodologies and Applications in Regulatory Science: 30 (Challenges and Advances in Computational Chemistry and Physics, 30) [Hardcover] Hong, Huixiao for sale by SpringBooks](https://pictures.abebooks.com/isbn/9783030164423-us-300.jpg)
Hardcover. Condition: Very Good. 1. Auflage. unread, cover with shelfwear or minor damages.
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Add to basketPaperback. Condition: Brand New. 520 pages. 9.25x7.50x1.25 inches. In Stock.
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Advances in Computational Toxicology: Methodologies and Applications in Regulatory Science (Challenges and Advances in Computational Chemistry and Physics, 30)
Book 24 of 25: Challenges and Advances in Computational Chemistry and PhysicsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 202.68
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Advances in Computational Toxicology: Methodologies and Applications in Regulatory Science (Challenges and Advances in Computational Chemistry and Physics, 30)
Book 24 of 25: Challenges and Advances in Computational Chemistry and PhysicsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 202.68
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Advances in Computational Toxicology : Methodologies and Applications in Regulatory Science
Book 24 of 25: Challenges and Advances in Computational Chemistry and PhysicsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 676 | Sprache: Englisch | Produktart: Bücher | This book is a collection of machine learning and deep learning algorithms, methods, architectures, and software tools that have been developed and widely applied in predictive toxicology. It compiles a set of recent applications using state-of-the-art machine learning and deep learning techniques in analysis of a variety of toxicological endpoint data. The contents illustrate those machine learning and deep learning algorithms, methods, and software tools and summarise the applications of machine learning and deep learning in predictive toxicology with informative text, figures, and tables that are contributed by the first tier of experts. One of the major features is the case studies of applications of machine learning and deep learning in toxicological research that serve as examples for readers to learn how to apply machine learning and deep learning techniques in predictive toxicology. This book is expected to provide a reference for practical applications of machine learning anddeep learning in toxicological research. It is a useful guide for toxicologists, chemists, drug discovery and development researchers, regulatory scientists, government reviewers, and graduate students. The main benefit for the readers is understanding the widely used machine learning and deep learning techniques and gaining practical procedures for applying machine learning and deep learning in predictive toxicology.
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Condition: New.
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Advances in Computational Toxicology : Methodologies and Applications in Regulatory Science
Book 24 of 25: Challenges and Advances in Computational Chemistry and PhysicsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 228.80
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Condition: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.
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Machine Learning and Deep Learning in Computational Toxicology
Book 3 of 5: Computational Methods in Engineering & the SciencesLanguage: English
Published by Springer International Publishing, 2024
ISBN 10: 3031207327 ISBN 13: 9783031207327
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a collection of machine learning and deep learning algorithms, methods, architectures, and software tools that have been developed and widely applied in predictive toxicology. It compiles a set of recent applications using state-of-the-art machine learning and deep learning techniques in analysis of a variety of toxicological endpoint data. The contents illustrate those machine learning and deep learning algorithms, methods, and software tools and summarise the applications of machine learning and deep learning in predictive toxicology with informative text, figures, and tables that are contributed by the first tier of experts. One of the major features is the case studies of applications of machine learning and deep learning in toxicological research that serve as examples for readers to learn how to apply machine learning and deep learning techniques in predictive toxicology. This book is expected to provide a reference for practical applications of machine learning anddeep learning in toxicological research. It is a useful guide for toxicologists, chemists, drug discovery and development researchers, regulatory scientists, government reviewers, and graduate students. The main benefit for the readers is understanding the widely used machine learning and deep learning techniques and gaining practical procedures for applying machine learning and deep learning in predictive toxicology.
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Machine Learning and Deep Learning in Computational Toxicology
Book 3 of 5: Computational Methods in Engineering & the SciencesLanguage: English
Published by Springer International Publishing, 2023
ISBN 10: 3031207297 ISBN 13: 9783031207297
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a collection of machine learning and deep learning algorithms, methods, architectures, and software tools that have been developed and widely applied in predictive toxicology. It compiles a set of recent applications using state-of-the-art machine learning and deep learning techniques in analysis of a variety of toxicological endpoint data. The contents illustrate those machine learning and deep learning algorithms, methods, and software tools and summarise the applications of machine learning and deep learning in predictive toxicology with informative text, figures, and tables that are contributed by the first tier of experts. One of the major features is the case studies of applications of machine learning and deep learning in toxicological research that serve as examples for readers to learn how to apply machine learning and deep learning techniques in predictive toxicology. This book is expected to provide a reference for practical applications of machine learning anddeep learning in toxicological research. It is a useful guide for toxicologists, chemists, drug discovery and development researchers, regulatory scientists, government reviewers, and graduate students. The main benefit for the readers is understanding the widely used machine learning and deep learning techniques and gaining practical procedures for applying machine learning and deep learning in predictive toxicology.
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Advances in Computational Toxicology | Methodologies and Applications in Regulatory Science
Book 24 of 25: Challenges and Advances in Computational Chemistry and PhysicsLanguage: English
Published by Springer International Publishing, 2020
ISBN 10: 3030164454 ISBN 13: 9783030164454
Taschenbuch. Condition: Neu. Advances in Computational Toxicology | Methodologies and Applications in Regulatory Science | Huixiao Hong | Taschenbuch | xvii | Englisch | 2020 | Springer International Publishing | EAN 9783030164454 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Condition: New. pp. 412 1st ed. 2019 edition NO-PA16APR2015-KAP.
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Advances in Computational Toxicology : Methodologies and Applications in Regulatory Science
Book 24 of 25: Challenges and Advances in Computational Chemistry and PhysicsLanguage: English
Published by Springer International Publishing, 2020
ISBN 10: 3030164454 ISBN 13: 9783030164454
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a comprehensive review of both traditional and cutting-edge methodologies that are currently used in computational toxicology and specifically features its application in regulatory decision making. The authors from various government agencies such as FDA, NCATS and NIEHS industry, and academic institutes share their real-world experience and discuss most current practices in computational toxicology and potential applications in regulatory science. Among the topics covered are molecular modeling and molecular dynamics simulations, machine learning methods for toxicity analysis, network-based approaches for the assessment of drug toxicity and toxicogenomic analyses. Offering a valuable reference guide to computational toxicology and potential applications in regulatory science, this book will appeal to chemists, toxicologists, drug discovery and development researchers as well as to regulatory scientists, government reviewers and graduate students interested in thisfield.
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Advances in Computational Toxicology : Methodologies and Applications in Regulatory Science
Book 24 of 25: Challenges and Advances in Computational Chemistry and PhysicsLanguage: English
Published by Springer International Publishing, 2019
ISBN 10: 303016442X ISBN 13: 9783030164423
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a comprehensive review of both traditional and cutting-edge methodologies that are currently used in computational toxicology and specifically features its application in regulatory decision making. The authors from various government agencies such as FDA, NCATS and NIEHS industry, and academic institutes share their real-world experience and discuss most current practices in computational toxicology and potential applications in regulatory science. Among the topics covered are molecular modeling and molecular dynamics simulations, machine learning methods for toxicity analysis, network-based approaches for the assessment of drug toxicity and toxicogenomic analyses. Offering a valuable reference guide to computational toxicology and potential applications in regulatory science, this book will appeal to chemists, toxicologists, drug discovery and development researchers as well as to regulatory scientists, government reviewers and graduate students interested in thisfield.
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Advances in Computational Toxicology: Methodologies and Applications in Regulatory Science (Challenges and Advances in Computational Chemistry and Physics, 30)
Book 24 of 25: Challenges and Advances in Computational Chemistry and PhysicsUS$ 292.39
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Advances in Computational Toxicology: Methodologies and Applications in Regulatory Science (Challenges and Advances in Computational Chemistry and Physics)
Book 24 of 25: Challenges and Advances in Computational Chemistry and PhysicsUS$ 295.15
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Add to basketHardcover. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Advances in Computational Toxicology: Methodologies and Applications in Regulatory Science
Book 24 of 25: Challenges and Advances in Computational Chemistry and PhysicsUS$ 317.39
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Add to basketPaperback. Condition: Brand New. 432 pages. 9.25x6.10x0.98 inches. In Stock.
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Advances in Computational Toxicology: Methodologies and Applications in Regulatory Science
Book 24 of 25: Challenges and Advances in Computational Chemistry and PhysicsUS$ 319.70
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Add to basketHardcover. Condition: Brand New. 432 pages. 9.25x6.10x1.18 inches. In Stock.
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Machine Learning and Deep Learning in Computational Toxicology
Book 3 of 5: Computational Methods in Engineering & the SciencesLanguage: English
Published by Springer Nature B.V., 2023
ISBN 10: 3031207319 ISBN 13: 9783031207310
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Machine Learning and Deep Learning in Computational Toxicology
Book 3 of 5: Computational Methods in Engineering & the SciencesLanguage: English
Published by Springer Nature B.V., 2023
ISBN 10: 3031207319 ISBN 13: 9783031207310
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
US$ 62.68
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Condition: new. Questo è un articolo print on demand.
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Condition: new. Questo è un articolo print on demand.
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Condition: new. Questo è un articolo print on demand.
