Lyle D. Burgoon

The AOPOntology: A Semantic Artificial Intelligence Tool for Predictive Toxicology

Lyle D. Burgoon, L. Burgoon, 2017, bioRxiv.

Overview of Chronic Oral Toxicity Values for Chemicals Present in Hydraulic Fracturing Fluids, Flowback, and Produced Waters.

John Stanek, Lyle D. Burgoon, Erin E. Yost, 2016, Environmental science & technology.

Autoencoder Predicting Estrogenic Chemical Substances (APECS): An improved approach for screening potentially estrogenic chemicals using in vitro assays and deep learning

Lyle D. Burgoon, 2017 .

Introducing WikiPathways as a Data-Source to Support Adverse Outcome Pathways for Regulatory Risk Assessment of Chemicals and Nanomaterials

Egon L. Willighagen, Marvin Martens, Hristo Aladjov, 2018, Front. Genet..

Systematic Omics Analysis Review (SOAR) Tool to Support Risk Assessment

Edward J. Perkins, Shannon M. Bell, Rong-Lin Wang, 2014, PloS one.