Improving concentration–response analysis by handling outlier concentrations

Computational Toxicology · Published 2026-07-16 · DOI 10.1016/j.comtox.2026.100437

Free full text

Authors (3)

Elisa Huiying Zhou, Franziska Kappenberg, Jörg Rahnenführer

Abstract

PubPorta does not have an abstract for this article yet.

Read the article at the publisher →

Publication details

Year

2026

Citation

Zhou, E., Kappenberg, F., Rahnenführer, J. (2026). Improving concentration–response analysis by handling outlier concentrations. Computational Toxicology. https://doi.org/10.1016/j.comtox.2026.100437

Related articles

• O-QT assistant: a multi-agent AI system for streamlined chemical hazard assessment and read-across analysis using the OECD QSAR toolbox API · Computational Toxicology · 2025 · Same journal
• Integration of network toxicology and bioinformatics reveals novel neurodevelopmental toxicity mechanisms of 2,2′,4,4′-tetrabromodiphenyl ether · Computational Toxicology · 2025 · Same journal
• Computational modeling of the hepatocytes reveals new insights into alterations in drug metabolism, oxidative stress response, and glutathione detoxification in acetaminophen-induced hepatotoxicity associated with MASLD · Computational Toxicology · 2025 · Same journal
• Computational fluid dynamics-based machine learning to predict respiratory dosimetry of tobacco product constituents · Computational Toxicology · 2026 · Same journal
• Variation of the amino acid at position 107 is a major contributor to species-specific sensitivity to PPO inhibitors · Computational Toxicology · 2026 · Same journal
• A weighted-likelihood framework for class imbalance in Bayesian prediction models · Computational Toxicology · 2026 · Same journal
• Modeling molecular level mechanisms of oxidative stress generation induced by agrochemicals in CKDu initiation · Computational Toxicology · 2025 · Same journal
• Finding optimal designs for estimating hormesis effect sizes · Computational Toxicology · 2026 · Same journal
• Mathematical model for thyroid hormone regulation in foetal rat brain · Computational Toxicology · 2026 · Same journal
• Revisiting the Threshold of Toxicological Concern: a computational framework for structural classification, cross-scheme comparison and opportunities for refinement · Computational Toxicology · 2026 · Same journal