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
前往小宇宙评论区与主播互动