Great work with Alexander Theus, David Wissel, and @valboeva.bsky.social.

All of this, while CancerFoundation is trained on much less data and the model is significantly smaller.

The gene embedding learned by CancerFoundation shows grouping of genes by previously discovered Meta-programs.

CancerFoundation's zero-short cell embeddings resemble known transcriptional states established transcriptional states observed in glioblastoma (GBM) and lung adenocarcinoma (LUAD).

CancerFoundation outperformed scFoundation and DeepCDR on drug response prediction.

📄 Read the full preprint: biorxiv.org/content/10.1...

Thanks to all co-authors Philip Toma, Imant Daunhawer, Julia Vogt, @flobarkmann.bsky.social, and @valboeva.bsky.social