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Vector-guided graph learning for spatial multi-slice multi-omics alignment.

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第一作者： Yikai,Lou

第一单位： Innovation Center for Evolutionary Synthetic Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China; Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China.

作者： Yikai,Lou ^[1] ; Xuan,Li ^[2] ; Qixing,Yang ^[2] ; Hao,Dai ^[3] ; Kaiyue,Ma ^[4] ; Chunman,Zuo ^[5]

作者单位： Innovation Center for Evolutionary Synthetic Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China; Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China. ^[1] College of Computer Science and Technology, Jilin University, Changchun 130022, China. ^[2] 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. ^[3] College of Computer Science and Technology, Civil Aviation University of China, Tianjin 300300, China. ^[4] Innovation Center for Evolutionary Synthetic Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China. Electronic address: zuochm@mail.sysu.edu.cn. ^[5]

关键词 CP: computational biology CP: systems biology cross-omics integration label transfer multi-slice multi-omics alignment spatial transcriptomics vector-informed graph model

医学主题词人类(Humans);乳腺肿瘤(Breast Neoplasms);算法(Algorithms);女(雌)性(Female);基因组学(Genomics);计算生物学(Computational Biology)

DOI 10.1016/j.crmeth.2025.101241

PMID 41265453

发布时间 2025-12-16

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