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A survey of the Predictive Toxicology Challenge 2000-2001.
Helma, C; Kramer, S.
Afiliação
  • Helma C; Machine Learning Lab, University Freiburg, D-79110 Freiburg, Germany. helma@informatik.uni-freiburg.de
Bioinformatics ; 19(10): 1179-82, 2003 Jul 01.
Article em En | MEDLINE | ID: mdl-12835259
ABSTRACT
MOTIVATION The Predictive Toxicology Challenge (PTC) was initiated to stimulate the development of advanced techniques for predictive toxicology models. The goal of this challenge was to compare different approaches for the prediction of rodent carcinogenicity, based on the experimental results of the US National Toxicology Program (NTP).

RESULTS:

111 sets of predictions for 185 compounds have been evaluated on quantitative and qualitative scales to select the most predictive models and those with the highest toxicological relevance. The accuracy of the submitted predictions was between 25 and 79 %. An evaluation of the most accurate models by toxicological experts showed, that it is still hard for domain experts to interpret the submitted models and to put them into relation with toxicological knowledge.

AVAILABILITY:

PTC details and data can be found at http//www.predictive-toxicology.org/ptc/.
Assuntos
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Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Toxicologia / Carcinógenos / Testes de Carcinogenicidade / Bases de Dados Factuais / Medição de Risco / Modelos Biológicos / Neoplasias Tipo de estudo: Etiology_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Animals País/Região como assunto: America do norte Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2003 Tipo de documento: Article País de afiliação: Alemanha
Buscar no Google
Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Toxicologia / Carcinógenos / Testes de Carcinogenicidade / Bases de Dados Factuais / Medição de Risco / Modelos Biológicos / Neoplasias Tipo de estudo: Etiology_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Animals País/Região como assunto: America do norte Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2003 Tipo de documento: Article País de afiliação: Alemanha