ChemPSy : Identification, classification et priorisation de nouveaux perturbateurs endocriniens par intégration massive de données de toxicogénomiques - Université de Rennes Access content directly
Conference Poster Year : 2016

ChemPSy : Identification, classification et priorisation de nouveaux perturbateurs endocriniens par intégration massive de données de toxicogénomiques

Abstract

The aim of ChemPSy (Chemical Prioritization System) is to provide an innovative tool based on several bioinformatics and biostatistics methodologies to analyze and integrate massive toxicogenomics datasets. Specific objectives include: (1) classification of chemicals based on transcriptional signatures, i.e. the set of genes whose expression is known to be positively or negatively altered after an exposure to these compounds; (2) the association of classes with human pathologies or deleterious phenotypes, i.e. classes containing toxicants with well-known effects; (3) the prediction of novel reprotoxicants and/or endocrine disruptors based on transcriptional signature similarities with known chemicals affecting testis development and function. (Intro.)
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Dates and versions

hal-02445078 , version 1 (19-01-2020)

Identifiers

  • HAL Id : hal-02445078 , version 1

Cite

Thomas Alain Darde, Estelle Lecluze, Becker Emmanuelle, Victoria Potdevin, Olivier Collin, et al.. ChemPSy : Identification, classification et priorisation de nouveaux perturbateurs endocriniens par intégration massive de données de toxicogénomiques. 10 ans PNREST, ANSES, Nov 2016, Paris, France. . ⟨hal-02445078⟩
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