A Multi-Omics Interpretable Machine Learning Model Reveals Modes of Action of Small Molecules
High-throughput screening and gene signature analyses frequently identify lead therapeutic compounds with unknown modes of action (MoAs), and the resulting uncertainties can lead to the failure of clinical trials. We developed an approach for uncovering MoAs through an interpretable machine learning...
| Main Authors: | , , , , , |
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| Other Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Springer Science and Business Media LLC,
2020-07-30T19:27:26Z.
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| Subjects: | |
| Online Access: | Get fulltext |