MAEST: accurately spatial domain detection in spatial transcriptomics with graph masked autoencoder - Zhu, Pengfei; Shu, Han; Wang, Yongtian; Wang, Xiaofeng; Zhao, Yuan; Hu, Jialu; Peng, Jiajie; Shang, Xuequn; Tian, Zhen; Chen, Jing; Wang, Tao (Briefings in bioinformatics, 2025)
Keywords: Accuracy; Algorithms; Animals; Autoencoder; Brain; Brain - metabolism; Clustering; Computational Biology - methods; Gene expression; Gene Expression Profiling - methods; Graph neural networks; Graphical representations; Hippocampus - metabolism; Humans; Mice; Neural networks; Neural Networks, Computer; Olfactory bulb; Software; Source code; Spatial data; Transcriptome; Transcriptomics; graph masked autoencoder; spatial domain identification; graph contrastive learning; spatial transcriptomics; joint domain detection