AIMT3-UM:DECO: Data-integration for Endpoints, Chemoinformatics and Omics
The first objective of this project is to develop a transparent framework that improves the prediction of the repeated dose toxicity of new chemicals by integrating chemoinformatic data with biological information from'omics' and HTS technologies. To create this framework, it […]
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AIMT2-TNO: Mechanism-based characterisation of systemic toxicity for RepDose database substances employing in vitro toxicogenomics
Many in vitro toxicogenomics initatives so far focus on the overlap between in vitro mechanistic responses and in vivo toxicity, but are primarily concerned with mechanistic studies and hazard identification. Purpose of this study is to extend this towards applications of […]
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