TL;DR通过使用图学习算法的神经算子,结合空间转录组学的技术,探讨了将其应用于小鼠脑组织样本神经区域预测的机器学习架构,并在基于多种图神经网络算法的验证中验证了神经算子方法的有效性,取得了近 72% 的 F1 分数。
Abstract
The inception of spatial transcriptomics has allowed improved comprehension
of tissue architectures and the disentanglement of complex underlying
biological, physiological, and pathological processes through their positional
contexts. Recently, these contexts, and by extension the fiel