Cellina uses supervised disentanglement to separate cell intrinsic states from spatial contexts for counterfactual predictions on tissue graphs, outperforming baselines on 2.5M+ cells from cancer and brain data.
Mas-Rosario, Rico Meinl, Jalil Nourisa, Jared Tumiel, Tin M
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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A new harmonized multi-dataset resource of small molecule perturbation transcriptomics is introduced, revealing weak cross-dataset logFC agreement but improved compound embedding performance in held-out evaluations.
citing papers explorer
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Querying Counterfactuals on Tissue Graphs with Supervised Disentanglement
Cellina uses supervised disentanglement to separate cell intrinsic states from spatial contexts for counterfactual predictions on tissue graphs, outperforming baselines on 2.5M+ cells from cancer and brain data.
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Chem-PerturBridge: a harmonized compendium of small molecule perturbation transcriptomic effects
A new harmonized multi-dataset resource of small molecule perturbation transcriptomics is introduced, revealing weak cross-dataset logFC agreement but improved compound embedding performance in held-out evaluations.