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A comparison of machine learning approaches for predicting hepatotoxicity potential using chemical structure and targeted transcriptomic data
Supplementary data for "Tia Tate, Grace Patlewicz, Imran Shah,
A comparison of machine learning approaches for predicting hepatotoxicity potential using chemical structure and targeted transcriptomic data, Computational Toxicology, Volume 29, 2024, 100301, ISSN 2468-1113, https://doi.org/10.1016/j.comtox.2024.100301.".
This dataset is associated with the following publication:
Tate, T., G. Patlewicz, and I. Shah. A comparison of machine learning approaches for predicting hepatotoxicity potential using chemical structure and targeted transcriptomic data. Computational Toxicology. Elsevier B.V., Amsterdam, NETHERLANDS, 29: 100301, (2024).
Complete Metadata
| bureauCode |
[ "020:00" ] |
|---|---|
| identifier | https://doi.org/10.23719/1530883 |
| programCode |
[ "020:000" ] |
| references |
[ "https://doi.org/10.1016/j.comtox.2024.100301" ] |
| rights | null |
