Data Associated with "Domain-adaptation deep learning models do not outperform simple baseline models in single-cell anti-cancer drug sensitivity prediction"

This Zenodo record contains all data necessary to reproduce the benchmark results described in the following publication:

M. Bohl, M. Esteban-Medina, N. Beerenwinkel, and K. Lenhof, Domain-adaptation deep learning models do not outperform simple baseline models in single-cell anti-cancer drug sensitivity prediction, bioRxiv (2026).

• Processed GDSC and single-cell RNA-Seq datasets are in processed.zip
• scATD model weights are in checkpoint_fold1_epoch_30.pth
• Full hyperparameter tuning logs/results are in hyperparameter_tuning_results.csv
• The first version of the source code (without model weights) is in code.zip. In case it gets updated in the future, check the latest version at https://github.com/cbg-ethz/SC-Bulk-Domain-Adaptation/