Pre-training on in vitro and fine-tuning on patient-derived data improves deep neural networks for anti-cancer drug-sensitivity prediction

HIGHLIGHTS

• who: Paul Prasse and colleagues from the Department of Computer Science, University of Potsdam, Potsdam, Germany have published the Article: Pre-Training on In Vitro and Fine-Tuning on Patient-Derived Data Improves Deep Neural Networks for Anti-Cancer Drug-Sensitivity Prediction, in the Journal: Cancers 2022, 14, 3950. of /2022/
• what: The authors explored a transfer-learning approach that exploits the abundance of in_vitro drug-sensitivity data to pre-train models which are then fine-tuned on drugsensitivity data of patient-derived cell lines. All data sets that the authors used in this study . . .
  

   

  

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