Daood, Nada_J, Russo, Daniel_P, Chung, Elena, Qin, Xuebin, and Zhu, Hao. Predicting Chemical Immunotoxicity through Data-Driven QSAR Modeling of Aryl Hydrocarbon Receptor Agonism and Related Toxicity Mechanisms. Environment & Health 2.7 Web. doi:10.1021/envhealth.4c00026.

Daood, Nada_J, Russo, Daniel_P, Chung, Elena, Qin, Xuebin, & Zhu, Hao. Predicting Chemical Immunotoxicity through Data-Driven QSAR Modeling of Aryl Hydrocarbon Receptor Agonism and Related Toxicity Mechanisms. Environment & Health, 2 (7). https://doi.org/10.1021/envhealth.4c00026

Daood, Nada_J, Russo, Daniel_P, Chung, Elena, Qin, Xuebin, and Zhu, Hao. "Predicting Chemical Immunotoxicity through Data-Driven QSAR Modeling of Aryl Hydrocarbon Receptor Agonism and Related Toxicity Mechanisms". Environment & Health 2 (7). Country unknown/Code not available: American Chemical Society. https://doi.org/10.1021/envhealth.4c00026. https://par.nsf.gov/biblio/10524691.

@article{osti_10524691,
place = {Country unknown/Code not available}, title = {Predicting Chemical Immunotoxicity through Data-Driven QSAR Modeling of Aryl Hydrocarbon Receptor Agonism and Related Toxicity Mechanisms}, url = {https://par.nsf.gov/biblio/10524691}, DOI = {10.1021/envhealth.4c00026}, abstractNote = {Not Available}, journal = {Environment & Health}, volume = {2}, number = {7}, publisher = {American Chemical Society}, author = {Daood, Nada_J and Russo, Daniel_P and Chung, Elena and Qin, Xuebin and Zhu, Hao}, }