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MAEST: accurately spatial domain detection in spatial transcriptomics with graph masked autoencoder.

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第一作者： Pengfei,Zhu

第一单位： School of Computer Science, Northwestern Polytechnical University, 1 Dongxiang Road, Xi'an 710072, China.;Key Laboratory of Big Data Storage and Management, Ministry of Industry and Information Technology, Northwestern Polytechnical University, 1 Dongxiang Road, Xi'an 710072, China.

作者： Pengfei,Zhu ^[1] ; Han,Shu ^[1] ; Yongtian,Wang ^[1] ; Xiaofeng,Wang ^[2] ; Yuan,Zhao ^[1] ; Jialu,Hu ^[1] ; Jiajie,Peng ^[1] ; Xuequn,Shang ^[1] ; Zhen,Tian ^[3] ; Jing,Chen ^[4] ; Tao,Wang ^[1]

作者单位： School of Computer Science, Northwestern Polytechnical University, 1 Dongxiang Road, Xi'an 710072, China.;Key Laboratory of Big Data Storage and Management, Ministry of Industry and Information Technology, Northwestern Polytechnical University, 1 Dongxiang Road, Xi'an 710072, China. ^[1] General Surgery Department, The Affiliated Hospital of Northwest University: Xi'an No 3 Hospital, Xi'an 710018, China. ^[2] School of Computer Science and Artificial Intelligence, Zhengzhou University, No. 100 Science Avenue, Zhengzhou 450001, China. ^[3] School of Computer Science and Engineering, Xi'an University of Technology, No. 5 South Jinhua Road, Xi'an 710048, China. ^[4]

关键词 graph contrastive learning graph masked autoencoder joint domain detection spatial domain identification spatial transcriptomics