stMVC Elucidating tumor heterogeneity from spatially resolved transcriptomics data by multi-view graph collaborative learning
Introduction
Citation:
Chunman Zuo*, Yijian Zhang, Chen Cao, Jinwang Feng, Mingqi Jiao, and Luonan Chen*. Elucidating tumor heterogeneity from spatially resolved transcriptomics data by multi-view graph collaborative learning, Nature Communications, 2022, 13(1):5962.
Publications
Credits
- Hao Dai daihao@sibcb.ac.cn Investigator
Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, China
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Summary
Accession | BT007371 |
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Tool Type | Toolkit |
Category | Other tools |
Platforms | Linux/Unix, Windows |
Technologies | Python3 |
User Interface | Terminal Command Line |
Latest Release | 1.0.1 (July 21, 2023) |
Download Count | 176 |
Country/Region | China |
Submitted By | Hao Dai |
Fundings
Strategic Priority Research Program of the Chinese Academy of Sciences (No. XDB38040400)