A toxicogenomic approach for the prediction of murine hepatocarcinogenesis using ensemble feature selection.

ABSTRACT: The current strategy for identifying the carcinogenicity of drugs involves the 2-year bioassay in male and female rats and mice. As this assay is cost-intensive and time-consuming there is a high interest in developing approaches for the screening and prioritization of drug candidates in preclinical safety evaluations. Predictive models based on toxicogenomics investigations after short-term exposure have shown their potential for assessing the carcinogenic risk. In this study, we investigated a novel method for the evaluation of toxicogenomics data based on ensemble feature selection in conjunction with bootstrapping for the purpose to derive reproducible and characteristic multi-gene signatures. This method was evaluated on a microarray dataset containing global gene expression data from

SUBMITTER: Eichner J 

PROVIDER: S-EPMC3769381 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature