首页> Briefings in bioinformatics> Spatially contrastive variational autoencoder for deciphering tissue heterogeneity from spatially resolved transcriptomics.

Spatially contrastive variational autoencoder for deciphering tissue heterogeneity from spatially resolved transcriptomics.

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第一作者： Yaofeng,Hu

第一单位： Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, Hangzhou 310024; University of Chinese Academy of Sciences, China.

作者： Yaofeng,Hu ^[1] ; Kai,Xiao ^[2] ; Hengyu,Yang ^[1] ; Xiaoping,Liu ^[1] ; Chuanchao,Zhang ^[1] ; Qianqian,Shi ^[3]

作者单位： Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, Hangzhou 310024; University of Chinese Academy of Sciences, China. ^[1] State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China.;University of Chinese Academy of Sciences, Beijing 100049, China. ^[2] Hubei Engineering Technology Research Center of Agricultural Big Data, Huazhong Agricultural University, Wuhan 430070, Hubei, China.;Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China. ^[3]

关键词 graph embedding variational autoencoder spatial domain identification spatially contrastive learning spatially resolved transcriptomics

医学主题词基因表达谱(Gene Expression Profiling)

DOI 10.1093/bib/bbae016

PMID 38324623

发布时间 2025-02-03

基金项目

2022YFA1004800/National Key Research and Development Program of China 62202120/National Natural Science Foundation of China 2023K0602/Pazhou Lab LZ22C060001/Zhejiang Provincial Natural Science Foundation of China 2023HIAS-Y024/UCAS ::BGI-Shenzhen::

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