The Predictive Toxicology Challenge 2000-2001

被引：117

作者：

Helma, C ^{[1
]}

King, RD

Kramer, S

Srinivasan, A

机构：

[1] Univ Freiburg, Machine Learning Lab, D-79110 Freiburg, Germany

[2] Univ Wales, Dept Comp Sci, Aberystwyth SY23 3DB, Dyfed, Wales

[3] Univ Oxford, Comp Lab, Oxford OX1 3QD, England

来源：

BIOINFORMATICS | 2001年 / 17卷 / 01期

关键词：

D O I：

10.1093/bioinformatics/17.1.107

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

We initiated the Predictive Toxicology Challenge (PTC) to stimulate the development of advanced SAR techniques for predictive toxicology models. The goal of this challenge is to predict the rodent carcinogenicity of new compounds based on the experimental results of the US National Toxicology Program (NTP). Submissions will be evaluated on quantitative and qualitative scales to select the most predictive models and those with the highest toxicological relevance.

引用

页码：107 / 108

页数：2