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Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects
We present comboFM, a machine learning framework for predicting the responses of drug combinations in pre-clinical studies, such as those based on cell lines or patient-derived cells. comboFM models the cell context-specific drug interactions through higher-order tensors, and efficiently learns late...
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| Veröffentlicht in: | Nat Commun |
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| Hauptverfasser: | , , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Publishing Group UK
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7708835/ https://ncbi.nlm.nih.gov/pubmed/33262326 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-020-19950-z |
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