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marvinsxtr/MapPFN

MapPFN Datasets Synthetic and real-world single-cell perturbation datasets for MapPFN: Learning Causal Perturbation Maps in Context (Sextro et al., 2026). Files sergio.h5ad — Synthetic biological prior (50 dimensions, 200 cells/condition) frangieh.h5ad — CRISPR knockout screen, melanoma cell line, 248 perturbations, 3 contexts, 50 DEGs (Frangieh et al., 2021) papalexi.h5ad — CRISPR knockout screen, leukemia cell line, 26 perturbations, 1 context, 50 DEGs… See the full description on the dataset page: https://huggingface.co/datasets/marvinsxtr/MapPFN.

Author / organizationmarvinsxtr
License (as declared)mit
Downloads130 (as reported by Hugging Face)
Likes1
Created19 February 2026
Last updated at source29 September 2026
perturbation-predictionprior-data-fitted-networksin-context-learningsingle-cellgene-expressioncausal-inferencecrispr
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