Discriminating different classes of toxicants by transcript profiling.

ABSTRACT: Male rats were treated with various model compounds or the appropriate vehicle controls. Most substances were either well-known hepatotoxicants or showed hepatotoxicity during preclinical testing. The aim of the present study was to determine if biological samples from rats treated with various compounds can be classified based on gene expression profiles. In addition to gene expression analysis using microarrays, a complete serum chemistry profile and liver and kidney histopathology were performed. We analyzed hepatic gene expression profiles using a supervised learning method (support vector machines; SVMs) to generate classification rules and combined this with recursive feature elimination to improve classification performance and to identify a compact subset of probe sets with potenti

SUBMITTER: Steiner G 

PROVIDER: S-EPMC1277117 | biostudies-literature | 2004 Aug

REPOSITORIES: biostudies-literature