Machine learning methods for endocrine disrupting potential identification based on single-cell data
| Autor: | Aghayev, Zahir, Szafran, Adam T., Tran, Anh, Ganesh, Hari S., Stossi, Fabio, Zhou, Lan, Mancini, Michael A., Pistikopoulos, Efstratios N., Beykal, Burcu |
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| Zdroj: | In Chemical Engineering Science 5 November 2023 281 |
| Databáze: | ScienceDirect |
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