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Ecotoxicological QSARs

Über Ecotoxicological QSARs

This volume focuses on computational modeling of the ecotoxicity of chemicals and presents applications of quantitative structure¿activity relationship models (QSARs) in the predictive toxicology field in a regulatory context. The extensive book covers a variety of protocols for descriptor computation, data curation, feature selection, learning algorithms, validation of models, applicability domain assessment, confidence estimation for predictions, and much more, as well as case studies and literature reviews on a number of hot topics. Written for the Methods in Pharmacology and Toxicology series, chapters include the kind of practical advice that is essential for researchers everywhere. Authoritative and comprehensive, Ecotoxicological QSARs is an ideal source to update readers in the field with current practices and introduce to them new developments and should therefore be very useful for researchers in academia, industries, and regulatory bodies.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9781071601495
  • Einband:
  • Gebundene Ausgabe
  • Seitenzahl:
  • 830
  • Veröffentlicht:
  • 17. Januar 2020
  • Ausgabe:
  • 12020
  • Abmessungen:
  • 261x184x55 mm.
  • Gewicht:
  • 1732 g.
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Beschreibung von Ecotoxicological QSARs

This volume focuses on computational modeling of the ecotoxicity of chemicals and presents applications of quantitative structure¿activity relationship models (QSARs) in the predictive toxicology field in a regulatory context. The extensive book covers a variety of protocols for descriptor computation, data curation, feature selection, learning algorithms, validation of models, applicability domain assessment, confidence estimation for predictions, and much more, as well as case studies and literature reviews on a number of hot topics. Written for the Methods in Pharmacology and Toxicology series, chapters include the kind of practical advice that is essential for researchers everywhere.
Authoritative and comprehensive, Ecotoxicological QSARs is an ideal source to update readers in the field with current practices and introduce to them new developments and should therefore be very useful for researchers in academia, industries, and regulatory bodies.

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