Author Title [ Type(Asc)] Year
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Journal Article
P. Thunga, Truong, L., Rericha, Y., La Du, J., Morshead, M., Tanguay, R. L., and Reif, D. M., Utilizing a Population-Genetic Framework to Test for Gene-Environment Interactions between Zebrafish Behavior and Chemical Exposure., Toxics, vol. 10, no. 12, 2022.
D. J. Wallis, Truong, L., La Du, J., Tanguay, R. L., and Reif, D. M., Uncovering Evidence for Endocrine-Disrupting Chemicals That Elicit Differential Susceptibility through Gene-Environment Interactions., Toxics, vol. 9, no. 4, 2021.
L. Truong, Rericha, Y., Thunga, P., Marvel, S., Wallis, D., Simonich, M. T., Field, J. A., Cao, D., Reif, D. M., and Tanguay, R. L., Systematic developmental toxicity assessment of a structurally diverse library of PFAS in zebrafish., J Hazard Mater, vol. 431, p. 128615, 2022.
L. Truong, Marvel, S., Reif, D. M., Thomas, D. G., Pande, P., Dasgupta, S., Simonich, M. T., Waters, K. M., and Tanguay, R. L., The multi-dimensional embryonic zebrafish platform predicts flame retardant bioactivity., Reprod Toxicol, vol. 96, pp. 359-369, 2020.
A. J. Green, Mohlenkamp, M. J., Das, J., Chaudhari, M., Truong, L., Tanguay, R. L., and Reif, D. M., Leveraging high-throughput screening data, deep neural networks, and conditional generative adversarial networks to advance predictive toxicology., PLoS Comput Biol, vol. 17, no. 7, p. e1009135, 2021.
A. J. Green, Truong, L., Thunga, P., Leong, C., Hancock, M., Tanguay, R. L., and Reif, D. M., Deep autoencoder-based behavioral pattern recognition outperforms standard statistical methods in high-dimensional zebrafish studies., bioRxiv, 2023.
P. Thunga, Truong, L., Tanguay, R. L., and Reif, D. M., Concurrent Evaluation of Mortality and Behavioral Responses: A Fast and Efficient Testing Approach for High-Throughput Chemical Hazard Identification., Front Toxicol, vol. 3, p. 670496, 2021.