Combining Spatial Multi‐Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self‐Supervised Graph Learning
Abstract
Research context
OpenAlex topics: Single-cell and spatial transcriptomics · Bioinformatics and Genomic Networks · Cell Image Analysis Techniques
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Affiliations
School of Mathematics and Statistics Henan University of Science and Technology Luoyang China
School of Artificial Intelligence Wuhan University Wuhan China
College of Electronic and Information Engineering Shenzhen University Shenzhen Guangdong China
School of Life Sciences Shanghai University Shanghai China
Shanghai Immune Therapy Institute Renji Hospital, Shanghai Jiao Tong University School of Medicine Shanghai China
School of Life Science and Technology Shandong Vocational University of Foreign Affairs Jinan China
Department of Rehabilitation Medicine The Affiliated Taian City Central Hospital of Qingdao University Shandong China
Key Laboratory of Biotechnology and Bioengineering of State Ethnic Affairs Commission Northwest Minzu University Lanzhou Gansu China
School of Mathematical Sciences and School of AI Shanghai Jiao Tong University Shanghai China
Tianfu Jincheng Laboratory Chengdu China
Key Laboratory of Systems Health Science of Zhejiang Province, Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Hangzhou China
Guangdong Provincial Key Laboratory of Mathematical and Neural Dynamical Systems Great Bay University Dongguan China
Funding
National Natural Science Foundation of China · National Key Research and Development Program of China · Natural Science Foundation of Henan Province · Natural Science Foundation of Shandong Province