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Predictive Toxicology - Helma; Helma, Helma
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2005, ISBN: 082472397X, Lieferbar binnen 4-6 Wochen Versandkosten:Versandkostenfrei innerhalb der BRD

ID: 9780824723972

Internationaler Buchtitel. In englischer Sprache. Verlag: MARCEL DEKKER INC, 520 Seiten, L=236mm, B=169mm, H=29mm, Gew.=912gr, [GR: 16900 - HC/Medizin/Pharmazie], [SW: - Medical / Nursing], Gebunden, Klappentext: 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 systemsa "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. 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 systemsa "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.

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A Brief Introduction to Predictive Toxicology. Description and Representation of Chemicals. Computational Biology and Toxicogenomics. Toxicological Information for Use in Predictive Modeling: Quality, Sources, and Databases. The Use of Expert Systems for Toxicology Risk Prediction. Regression- and Projection-Based Approaches in Predictive Toxicology. Machine Learning and Data Mining. Neural Networks and Kernel Machines for Vector and Structured Data. Applications of Substructure-Based SAR in Toxicology. OncoLogic: A Mechanism-Based Expert System for Predicting the Carcinogenic Potential of Chemicals. META: An Expert System for the Prediction of Metabolic Transformations. MC4PCAn Artificial Intelligence Approach to the Discovery of Quantitative Structure-Toxic Activity Relationships. PASS: Prediction of Biological Activity Spectra for Substances. Lazar: Lazy Structure-Activity Relationships for Toxicity Prediction. Index. Science Science eBook, CRC Press

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Predictive Toxicology - Helma, Christoph
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Helma, Christoph:
Predictive Toxicology - neues Buch

ISBN: 9780824723972

ID: 264264

A Brief Introduction to Predictive Toxicology. Description and Representation of Chemicals. Computational Biology and Toxicogenomics. Toxicological Information for Use in Predictive Modeling: Quality, Sources, and Databases. The Use of Expert Systems for Toxicology Risk Prediction. Regression- and Projection-Based Approaches in Predictive Toxicology. Machine Learning and Data Mining. Neural Networks and Kernel Machines for Vector and Structured Data. Applications of Substructure-Based SAR in Toxicology. OncoLogic: A Mechanism-Based Expert System for Predicting the Carcinogenic Potential of Chemicals. META: An Expert System for the Prediction of Metabolic Transformations. MC4PCAn Artificial Intelligence Approach to the Discovery of Quantitative Structure-Toxic Activity Relationships. PASS: Prediction of Biological Activity Spectra for Substances. Lazar: Lazy Structure-Activity Relationships for Toxicity Prediction. Index. Science Science, CRC Press

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Predictive Toxicology - Helma; Helma, Helma
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Helma; Helma, Helma:
Predictive Toxicology - gebunden oder broschiert

2005, ISBN: 082472397X, Lieferbar binnen 4-6 Wochen

ID: 9780824723972

Internationaler Buchtitel. In englischer Sprache. Verlag: MARCEL DEKKER INC, 520 Seiten, L=236mm, B=169mm, H=29mm, Gew.=912gr, [GR: 16900 - HC/Medizin/Pharmazie], [SW: - Medical / Nursing], Gebunden, Klappentext: A comprehensive overview of techniques and systems currently utilized in predictive toxicology, this reference presents an in-depth survey of strategies, algorithms, and prediction methods to select, calculate, and represent the features and properties of chemical structures in biological systems. It provides sources of high-quality toxicity data, the most important commercial and noncommercial predictive toxicology programs, and advanced technologies in computational chemistry, biology, statistics, and data mining. Predictive Toxicology explores applications that go beyond classical structure-activity relationships and discusses programs such as OncoLogic, META, MC4PC, PASS, and lazar.

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ISBN: 9780824723972

Christoph Helma (Editor), Helma Helma,Hardcover, English-language edition,Pub by Taylor & Francis Textbooks New Books ~~ Medicine~~ Toxicology Predictive-Toxicology~~Christoph-Helma Taylor & Francis 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 systemsa "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.

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Predictive Toxicology
Autor:

Helma; Helma, Helma

Titel:

Predictive Toxicology

ISBN-Nummer:

9780824723972

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 systemsa "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.

Detailangaben zum Buch - Predictive Toxicology


EAN (ISBN-13): 9780824723972
ISBN (ISBN-10): 082472397X
Gebundene Ausgabe
Erscheinungsjahr: 2005
Herausgeber: MARCEL DEKKER INC
520 Seiten
Gewicht: 0,912 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 07.10.2007 22:06:46
Buch zuletzt gefunden am 30.05.2016 16:47:21
ISBN/EAN: 9780824723972

ISBN - alternative Schreibweisen:
0-8247-2397-X, 978-0-8247-2397-2

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