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

  1. Elucidating Tumor Heterogeneity From Spatially Resolved Transcriptomics Data By Multi View Graph Collaborative Learning.
    Zuo C, Zhang Y, Cao C, Feng J, Jiao M, Chen L, 2022 Oct 10 - Nature Communications

Credits

  1. 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
AccessionBT007371
Tool TypeToolkit
CategoryOther tools
PlatformsLinux/Unix, Windows
TechnologiesPython3
User InterfaceTerminal Command Line
Latest Release1.0.1 (July 21, 2023)
Download Count176
Country/RegionChina
Submitted ByHao Dai
Fundings

Strategic Priority Research Program of the Chinese Academy of Sciences (No. XDB38040400)