Efficient reliability analysis of spatially resolved transcriptomics at varying resolutions using SpaSEG
Yong Bai, Xiangyu Guo, Keyin Liu, Bingjie Zheng, Yilin Wei, Yingyue Wang, W H Zhang, Qiuhong Luo, Jianhua Yin, Liang Li Wu, Yuxiang Li, Yong Zhang, Ao Chen, Xiangdong Wang, Xun Xu, , Xin Jin
SpaSEG is a convolutional neural network model for analyzing spatially resolved transcriptomics data, showing superior reliability and efficiency in detecting spatial patterns and intercellular interactions.
Genome biology · Jul 29, 2025Peer-reviewedBioinformatics