cmzuo11/stMVC: Elucidating tumor heterogeneity from spatially resolved transcriptomics data by multi-view graph collaborative learning

Published February 5, 2022 | Version V0.0.1

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1. Institute of Artificial Intelligence, Donghua University, Shanghai 201620, China
2. Department of General Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
3. School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
4. Key Laboratory of Information Fusion Technology of Ministry of Education, School of Automation, Northwestern Polytechnical University, Xi'an 710072, China
5. Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou 310024, China
6. Key Laboratory of Systems Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China

This is the first release. please refer to: 10.5281/zenodo.7244758

The record is publicly accessible, but files are restricted to users with access.

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