Establishment of interpretable cytotoxicity prediction models using machine learning analysis of transcriptome features
Cytotoxicity, usually represented by cell viability, is a crucial parameter for evaluating drug safety in vitro. Accurate prediction of cell viability/cytotoxicity could accelerate drug development in the early stage. In this study, by integrating cellular transcriptome and cell viability data using...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | Acta Pharmaceutica Sinica B |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2211383525000528 |
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