Cao Y, Moe SJ, de Bin R, Tollefsen KE, Song Y, 2022. Comparison of structural equation modeling and Bayesian network for de novo construction of a quantitative adverse outcome pathway network. Alternatives to Animal Experimentation.

Toyota K, Watanabe H, Hirano M, Abe R, Miyakawa H, Song Y, Sato T, Miyagawa S, Tollefsen KE, Yamamoto H, Tatarazako N, Iguchi T. 2021. Juvenile hormone synthesis and signaling disruption triggering male offspring induction and population decline in cladocerans (water flea): Review and adverse outcome pathway development. Aquatic Toxicology 243:106058.

Song Y.; Villeneuve D.L., 2021. AOP Report: Uncoupling of Oxidative Phosphorylation Leading to Growth Inhibition via Decreased Cell Proliferation. Environmental Toxicology and Chemistry 40:2959-2967.

Moe, S. J.; Carriger, J. F.; Glendell, M., Increased Use of Bayesian Network Models Has Improved Environmental Risk Assessments. Integrated Environmental Assessment and Management 2021, 17, (1), 53-61.

Song, Y.; Kamstra, J. H.; Cao, Y.; Asselman, J.; Anglès d'Auriac, M.; Friberg, N., High-throughput analyses and Bayesian network modeling highlight novel epigenetic Adverse Outcome Pathway networks of DNA methyltransferase inhibitor mediated transgenerational effects. Journal of Hazardous Materials 2021, 408, 124490.

Song, Y.; Xie, L.; Lee, Y.; Tollefsen, K. E., De Novo Development of a Quantitative Adverse Outcome Pathway (qAOP) Network for Ultraviolet B (UVB) Radiation Using Targeted Laboratory Tests and Automated Data Mining. Environmental Science & Technology 2020, 54, (20), 13147-13156.



Last updated 10.11.2022