Querying Counterfactuals on Tissue Graphs with Supervised Disentanglement
Tissue graph counterfactuals ask how a cell's expression would change under altered spatial neighbor contexts. Such queries are central to predicting cell behavior in tissues, but lack a unified definition, with existing methods targeting specific intervention types or treating cells as i.i.d. In this work, we first formalize tissue graph counterfactuals as a class of spatial interventions that either rewire connections between cells (edge perturbation) or modify the expression of their neighbors (node perturbation). We then introduce Cellina (https://cellina.readthedocs.io) - a framework that uses supervised disentanglement to decompose a cell's intrinsic state from its spatial context, ...
| Authors | Abdul Moeed, Stefan Schrod, Martin Rohbeck et al. |
|---|---|
| Primary category | q-bio.GN |
| Published | 7 June 2026 |
| Last updated at source | 10 June 2026 |
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