Document Type
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BL
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Record Number
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1005316
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Doc. No
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b759686
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Title & Author
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Predictive toxicology /\ edited by Christoph Helma.
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Publication Statement
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Boca Raton :: Taylor & Francis,, 2005.
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Page. NO
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x, 508 pages :: illustrations ;; 24 cm
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ISBN
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082472397X
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: 0849350352
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: 9780824723972
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: 9780849350351
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Bibliographies/Indexes
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Includes bibliographical references and index.
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Contents
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A brief introduction to predictive toxicology / Christoph Helma -- Description and representation of chemicals / Wolfgang Guba -- Computational biology and toxicogenomics / Kathleen Marchal [and others] -- Toxicological information for use in predictive modelig: quality, sources, and databases / Mark T.D. Cronin -- The use of expert systems for toxicology risk prediction / Simon Parsons and Peter McBurney -- Regression- and projection-based approaches in predictive toxicology / Lennart Eriksson, Erik Johansson, and Torbjörn Lundstedt -- Machine learning and data mining / Stefan Kramer and Christoph Helma -- Neural networks and kernel machines for vector and structured data / Paolo Frasconi -- Applications of substructure-based SAR in toxicology / Herbert S. Rosenkranz and Bhavani P. Thampatty -- OncoLogic: a mechanism-based expert system for predicting the carcinogenic potential of chemicals / Yin-Tak Woo and David Y. Lai -- META: an expert system for the prediction of metabolic transformations / Gilles Klopman and Aleksandr Sedykh -- MC4PC -- an artificial intelligence approach to the discovery of quantitative structure-toxic activity relationships / Gilles Klopman [and others] -- PASS: prediction of biological activity spectra for substances / Vladimir Poroikov and Dmitri Filimonov -- Iazar: lazy structure-activity relationships for toxicity prediction / Christoph Helma.
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Abstract
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"A comprehensive overview of techniques and systems currently utilized in predictive toxicology, this reference presents an in-depth survey of strategies to characterize chemical structures and biological systems - covering prediction methods and algorithms, sources of high-quality toxicity data, the most important commercial and noncommercial predictive toxicology programs, and advanced technologies in computational chemistry and biology, statistics, and data mining."--Jacket.
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Subject
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Toxicology-- Computer simulation.
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Subject
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Toxicology-- Mathematical models.
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Subject
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Toxicologie-- Modèles mathématiques.
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Subject
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Toxicologie-- Simulation par ordinateur.
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Subject
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MEDICAL-- Toxicology.
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Subject
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Toxicology-- Mathematical models.
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Subject
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Toxicology-- methods.
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Subject
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Computer Simulation.
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Subject
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Models, Theoretical.
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Dewey Classification
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615.9
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LC Classification
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RA1199.4.M37P74 2005
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NLM classification
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2005 F-899
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QV 600P9235 2005
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44.41bcl
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Added Entry
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Helma, Christoph.
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