765-Celcomen: Spatial Causal Perturbation Modeling

Celcomen is a newly developed computational framework that utilizes causal disentanglement and generative graph neural networks to analyze spatial transcriptomics data. The model is designed to separate intrinsic gene regulation within a single cell from extrinsic signals coming from the surrounding tissue environment. By establishing a mathematically identifiable causal structure, the tool can pr...去小宇宙查看完整单集简介
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