Celcomen: spatial causal disentanglement for single-cell and tissue perturbation modeling - PubMed
5 hours ago
- #gene regulation
- #causal disentanglement
- #spatial transcriptomics
- Celcomen uses a mathematical causality framework to analyze intra- and inter-cellular gene regulation in spatial transcriptomics data.
- It employs a generative graph neural network to model post-perturbation counterfactual spatial transcriptomics.
- Validated through simulations and real-world samples including human glioblastoma, fetal spleen, and mouse lung cancer.
- Provides insights into disease- and therapy-induced changes in tissues.
- S.A.T. has competing interests including advisory roles and equity in biotech firms.