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Few-shot learning creates predictive models of drug response that translate from high-throughput screens to individual patients
Cell-line screens create expansive datasets for learning predictive markers of drug response, but these models do not readily translate to the clinic with its diverse contexts and limited data. In the present study, we apply a recently developed technique, few-shot machine learning, to train a versa...
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| Yayımlandı: | Nat Cancer |
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| Asıl Yazarlar: | , , , , , , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2021
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8248912/ https://ncbi.nlm.nih.gov/pubmed/34223192 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s43018-020-00169-2 |
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