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(4) Developing and disseminating training resources for implementing computational, in silico-based research in environmental health
- Roell K#, Koval LE*, Boyles R, Patlewicz G, Ring C, Rider CV, Ward-Caviness C, Reif DM, Jaspers I, Fry RC, Rager JE++. Development of the InTelligence And Machine LEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research. Front Toxicol. 2022 Jun 22;4:893924.
- Payton A#, Roell KR, Rebuli ME, Valdar W, Jaspers I, Rager JE++. Navigating the bridge between wet and dry lab toxicology research to address current challenges with high-dimensional data. Front Toxicol. 2023 May 26;5.