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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Bibliografiska uppgifter
I publikationen:Nat Cancer
Huvudupphovsmän: Ma, Jianzhu, Fong, Samson H., Luo, Yunan, Bakkenist, Christopher J., Shen, John Paul, Mourragui, Soufiane, Wessels, Lodewyk F. A., Hafner, Marc, Sharan, Roded, Peng, Jian, Ideker, Trey
Materialtyp: Artigo
Språk:Inglês
Publicerad: 2021
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Article
Länkar: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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