Chinese contentCellCanon 发布:可解释、可更新的智能体细胞世界模型
一家团队把单细胞预测、解释和证据更新做进一个智能体框架,SciPlex3 上 AUPRC 高出基线 63.3%,token 还省了 99%,做生物信息的朋友可以看看。
一家团队把单细胞预测、解释和证据更新做进一个智能体框架,SciPlex3 上 AUPRC 高出基线 63.3%,token 还省了 99%,做生物信息的朋友可以看看。
The method shows how graph neural networks can extract clinically meaningful subtypes from population-scale single-cell data, turning donor tissue into a map of resilience and psychiatric comorbidity in AD. Researchers in computational biology and drug discovery can reuse the approach on other diseases where donor cohorts exist. Teams building biomarker pipelines should note the link between cell-level patterns and depression onset in AD patients.
这篇论文提出了一种流形学习新方法,用路径集成替代单条路径,在非均匀数据上比UMAP更忠实于测地几何。