Benfenati emilio (17 Ergebnisse)

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - A Pen-and-Paper Notation for Teaching Biosciences.- An Exploration of Some Factors Affecting the Correlation of mRNA and Proteomic Data.- Improving Rule Induction Precision for Automated Annotation by Balancing Skewed Data Sets.- A Randomized Algorithm for Distance Matrix Calculations in Multiple Sequence Alignment.- Extracting Sequential Patterns for Gene Regulatory Expressions Profiles.- Data Analysis of Microarrays Using SciCraft.- Functional Data Analysis of the Dynamics of Gene Regulatory Networks.- Text Mining of Full Text Articles and Creation of a Knowledge Base for Analysis of Microarray Data.- Analysis of Protein/Protein Interactions Through Biomedical Literature: Text Mining of Abstracts vs. Text Mining of Full Text Articles.- Ranking for Medical Annotation: Investigating Performance, Local Search and Homonymy Recognition.- A New Artificial Life Formalization Model: A Worm with a Bayesian Brain.- Teaching Grasping to a Humanoid Hand as a Generalization of Human Grasping Data.- JavaSpaces - An Affordable Technology for the Simple Implementation of Reusable Parallel Evolutionary Algorithms.- Detecting and Adapting to Concept Drift in Bioinformatics.- Feature Extraction and Classification of the Auditory Brainstem Response Using Wavelet Analysis.- Evaluation of Outcome Prediction for a Clinical Diabetes Database.- Cytochrome P450 Classification of Drugs with Support Vector Machines Implementing the Nearest Point Algorithm.- Multiple-Instance Case-Based Learning for Predictive Toxicology.- Modelling and Prediction of Toxicity of Environmental Pollutants.- Modelling Aquatic Toxicity with Advanced Computational Techniques: Procedures to Standardize Data and Compare Models.…

Taschenbuch. Zustand: Neu. In Silico Methods for Predicting Drug Toxicity | Emilio Benfenati | Taschenbuch | xi | Englisch | 2018 | Humana | EAN 9781493980932 | Verantwortliche Person für die EU: Humana Press in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This detailed volume explores in silico methods forpharmaceutical toxicity by combiningthe theoretical advanced research with the practical application of the tools.Beginning with a section covering sophisticated models addressing the bindingto receptors, pharmacokinetics and adsorption, metabolism, distribution, andexcretion, the book continues with chapters delving into models for specifictoxicological and ecotoxicological endpoints, as well as broad views of themain initiatives and new perspectives which will very likely improve our way ofmodelling pharmaceuticals. Written for the highly successful Methods in Molecular Biology series,chapters include the kind of detailed implementation advice that is key forachieving successful research results.Authoritative and practical, In Silico Methods for Predicting DrugToxicity offers the advantage of incorporating data and knowledge fromdifferent fields, such as chemistry, biology, -omics, and pharmacology, toachieve goals in this vital area of research.…

Zustand: New. 2018. Softcover reprint of the original 1st ed. 2016. paperback. . . . . . Books ship from the US and Ireland.

Zustand: As New. Unread book in perfect condition.

Taschenbuch. Zustand: Neu. In Silico Methods for Predicting Drug Toxicity | Emilio Benfenati | Taschenbuch | xiv | Englisch | 2022 | Humana | EAN 9781071619629 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This fully updated book explores all-new and revised protocols involving the use of in silico models, particularly with regard to pharmaceuticals. Divided into five sections, the volume covers the modeling of pharmaceuticals in the body, toxicity data for modeling purposes, in silico models for multiple endpoints, a number of platforms for evaluating pharmaceuticals, as well as an exploration of challenges, both scientific and sociological. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and implementation advice necessary for successful results.Authoritative and comprehensive, In Silico Methods for Predicting Drug Toxicity, Second Edition aims to guide the reader through the correct procedures needed to harness in silico models, a field which now touches a wide variety of research specialties.…

Hardcover. Zustand: Brand New. 545 pages. 10.50x7.25x1.50 inches. In Stock.

Zustand: New. Editor(s): Benfenati, Emilio. Series: Methods in Molecular Biology. Num Pages: 545 pages, 37 black & white illustrations, 156 colour illustrations, 51 black & white tables, 2 colo. BIC Classification: MMG. Category: (P) Professional & Vocational. Dimension: 254 x 178 x 30. Weight in Grams: 1213. . 2016. 1st ed. 2016. hardcover. . . . . Books ship from the US and Ireland.…

Gebunden. Zustand: New. * Assesses the needs of regulators for pesticide approval and how these needs affect QSAR models* Combines theoretical discussion with practical examples, including five worked examples of hybrid systems* Refers to original software available through the in.

Paperback. Zustand: Brand New. 2nd edition. 694 pages. 10.00x7.01x1.39 inches. In Stock.

Zustand: New.

Buch. Zustand: Neu. Neuware - Quantitative Structure-Activity Relationship (QSAR) for Pesticide Regulatory Purposes stems from the experience of the EC funded project DEMETRA. This project combined institutes involved in the regulatory process of pesticides, industries of the sector and scientists to develop and offer original software for the prediction of ecotoxicity of pesticides. Then to be used within the dossier preparation for pesticide registration. The basis of this book is more than three-years of research activities, discussions, studies and successful models. This experience represents a useful example not only for the case of pesticides, but also for the prediction of ecotoxicity and toxicity in general. QSAR is used to link a given property of a chemical compound with some features related to its structure. The theoretical toxicological, chemical and information technology aspects will be treated considering the regulatory issues. Innovative hybrid systems will be described, for the toxicity prediction of pesticides and related compounds, directly useful for pesticide evaluation within the Dossier preparation for pesticide registration. Five endpoints will also be discussed, addressing issues as standardisation, verification, validation, accessibility, reproducibility. The driving force for Quantitative Structure-Activity Relationship (QSAR) for Pesticide Regulatory Purposes is that all the issues of concern for end-users are analysed, discussed and solutions proposed further. An innovative feature is that, in order to offer powerful QSAR models, the book discusses and reports on integrated QSAR models, combined into a unique hybrid system.\* Assesses the needs of regulators for pesticide approval and how these needs affect QSAR models\* Combines theoretical discussion with practical examples, including five worked examples of hybrid systems\* Refers to original software available through the internet.…

Zustand: New. pp. 534 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

Hardcover. Zustand: Brand New. 2nd edition. 694 pages. 10.00x7.00x1.60 inches. In Stock.

Zustand: New. 2022. Hardcover. . . . . . Books ship from the US and Ireland.

Zustand: As New. Unread book in perfect condition.