Figure 1

Workflow of the transfer learning model. From top to bottom, pre-treatment cell line and tumor gene expression levels were harmonized. Genomic and chemical features were generated respectively. Cell line data were then used to pretrained a cell line model, while tumor data were feed into a new model which was trained with the pretrained model.