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Predicting Drug Response and Synergy Using a Deep Learning Model of Human Cancer Cells

Most drugs entering clinical trials fail, often related to an incomplete understanding of the mechanisms governing drug response. Machine learning techniques hold immense promise for better drug response predictions, but most have not reached clinical practice due to their lack of interpretability a...

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Bibliographische Detailangaben
Veröffentlicht in:Cancer Cell
Hauptverfasser: Kuenzi, Brent M., Park, Jisoo, Fong, Samson H., Sanchez, Kyle S., Lee, John, Kreisberg, Jason F., Ma, Jianzhu, Ideker, Trey
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2020
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7737474/
https://ncbi.nlm.nih.gov/pubmed/33096023
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ccell.2020.09.014
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