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Optimization of an adverse outcome pathway network on chemical-induced cholestasis using an artificial intelligence-assisted data collection and confidence level quantification approach.
J Biomed Inform. 2023 Sep;145:104465. doi: 10.1016/j.jbi.2023.104465. Epub 2023 Aug 2.
J Biomed Inform. 2023.
PMID: 37541407
Free article.
Unraveling the mechanisms underlying drug-induced cholestatic liver injury: identifying key genes using machine learning techniques on human in vitro data sets.
Jiang J, van Ertvelde J, Ertaylan G, Peeters R, Jennen D, de Kok TM, Vinken M.
Jiang J, et al. Among authors: van ertvelde j.
Arch Toxicol. 2023 Nov;97(11):2969-2981. doi: 10.1007/s00204-023-03583-4. Epub 2023 Aug 21.
Arch Toxicol. 2023.
PMID: 37603094
Free PMC article.
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A quantitative weight-of-evidence method for confidence assessment of adverse outcome pathway networks: A case study on chemical-induced liver steatosis.
Verhoeven A, van Ertvelde J, Boeckmans J, Gatzios A, Jover R, Lindeman B, Lopez-Soop G, Rodrigues RM, Rapisarda A, Sanz-Serrano J, Stinckens M, Sepehri S, Teunis M, Vinken M, Jiang J, Vanhaecke T.
Verhoeven A, et al. Among authors: van ertvelde j.
Toxicology. 2024 Jun;505:153814. doi: 10.1016/j.tox.2024.153814. Epub 2024 Apr 25.
Toxicology. 2024.
PMID: 38677583
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