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Author

Florian Oehler

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Open access Oct 2026

Biological interaction fingerprints improve prediction of drug-induced steatosis

In this study, binary classification models using steatosis-positive drugs curated from the Food and Drug Administration Adverse Event Reporting System (FAERS) and steatosis-negative compounds from the DILIst dataset are developed and integrated into a consensus classifier using majority voting.

P. Helmke, Florian Oehler, Gerhard F. Ecker · 0 citations

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