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A multi-view graph contrastive learning framework for deciphering spatially resolved transcriptomics data.

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第一作者： Lei,Zhang

第一单位： Department of Control Science and Engineering, Tongji University, No. 4800 Cao'an Road, 201804, Shanghai, China.;Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Lane 55, Chuanhe Road, 201210, Shanghai, China.

作者： Lei,Zhang ^[1] ; Shu,Liang ^[1] ; Lin,Wan ^[2]

作者单位： Department of Control Science and Engineering, Tongji University, No. 4800 Cao'an Road, 201804, Shanghai, China.;Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Lane 55, Chuanhe Road, 201210, Shanghai, China. ^[1] Academy of Mathematics and Systems Science, Chinese Academy of Sciences, No. 55 Zhongguancun East Road, 100190, Beijing, China.;School of Mathematical Sciences, University of Chinese Academy of Sciences, 19A Yuquan Road, 100049, Beijing, China. ^[2]

关键词 graph augmentation graph convolutional network multi-view graph contrastive learning nonlocal dependency spatial domain identification spatially resolved transcriptomics

医学主题词基因表达谱(Gene Expression Profiling);人类(Humans);算法(Algorithms);计算生物学(Computational Biology)

DOI 10.1093/bib/bbae255

PMID 38801701

发布时间 2024-05-29

基金项目

2019YFA0709501/National Key Research and Development Program of China 12071466/National Natural Science Foundation of China 2021SHZDZX0100/Shanghai Municipal Science and Technology Major Project

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准确一般字义偏差语意偏离译文作用小提交