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Tia Tate

Showing results (1-10 of 4) with videos related to

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Bioinformatics (Oxford, England)|March 27, 2021
Generalized Read-Across prediction using genra-pyImran Shah, Tia Tate, Grace Patlewicz
Computational Toxicology (Amsterdam, Netherlands)|July 12, 2024
A Comparison of Machine Learning Approaches for predicting Hepatotoxicity potential using Chemical Structure and Targeted Transcriptomic DataTia Tate, Grace Patlewicz, Imran Shah
Computational Toxicology (Amsterdam, Netherlands)|June 13, 2023
Repeat-dose toxicity prediction with Generalized Read-Across (GenRA) using targeted transcriptomic data: A proof-of-concept case studyTia Tate, John Wambaugh, Grace Patlewicz, et al.
Research Square|May 7, 2026
Extrachromosomal DNA Gives Cancer a New Evolutionary PathwayElizabeth Brunk, Yue Wang, Oliver Cope, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Bioinformatics (Oxford, England)|March 27, 2021
Generalized Read-Across prediction using genra-pyImran Shah, Tia Tate, Grace Patlewicz
Computational Toxicology (Amsterdam, Netherlands)|July 12, 2024
A Comparison of Machine Learning Approaches for predicting Hepatotoxicity potential using Chemical Structure and Targeted Transcriptomic DataTia Tate, Grace Patlewicz, Imran Shah
Computational Toxicology (Amsterdam, Netherlands)|June 13, 2023
Repeat-dose toxicity prediction with Generalized Read-Across (GenRA) using targeted transcriptomic data: A proof-of-concept case studyTia Tate, John Wambaugh, Grace Patlewicz, et al.
Research Square|May 7, 2026
Extrachromosomal DNA Gives Cancer a New Evolutionary PathwayElizabeth Brunk, Yue Wang, Oliver Cope, et al.
Pageof 1