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Ouroboros results
This repository contains the results and embeddings for the dataset discussed in the paper "Deep learning inference of universal dormancy pseudotime reveals the cellular targets of anti-cancer therapies" (Beckman, et al. 2026)
File Size20.9 MB
Data TypeDataset
Published2026
Licensemit-license
Total Views47
Total Downloads52
This repository contains the results and embeddings for the dataset discussed in the paper “Deep learning inference of universal dormancy pseudotime reveals the cellular targets of anti-cancer therapies” (Beckman, et al. 2026)
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Files are hosted on the source repository. Click download to access the full dataset.
Chang, Keng Man Glenn (2026). Ouroboros results. https://doi.org/10.5281/zenodo.23021510