首页> BMC genomics> Deciphering spatial domains from spatially resolved transcriptomics through spatially regularized deep graph networks.

Deciphering spatial domains from spatially resolved transcriptomics through spatially regularized deep graph networks.

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第一作者： Daoliang,Zhang

第一单位： Center of Intelligent Medicine, School of Control Science and Engineering, Shandong University, Jinan, Shandong, 250061, China.

作者： Daoliang,Zhang ^[1] ; Na,Yu ^[1] ; Xue,Sun ^[1] ; Haoyang,Li ^[1] ; Wenjing,Zhang ^[1] ; Xu,Qiao ^[2] ; Wei,Zhang ^[3] ; Rui,Gao ^[4]

作者单位： Center of Intelligent Medicine, School of Control Science and Engineering, Shandong University, Jinan, Shandong, 250061, China. ^[1] Center of Intelligent Medicine, School of Control Science and Engineering, Shandong University, Jinan, Shandong, 250061, China. qiaoxu@sdu.edu.cn. ^[2] Center of Intelligent Medicine, School of Control Science and Engineering, Shandong University, Jinan, Shandong, 250061, China. zw@sdu.edu.cn. ^[3] Center of Intelligent Medicine, School of Control Science and Engineering, Shandong University, Jinan, Shandong, 250061, China. gaorui@sdu.edu.cn. ^[4]

关键词 Cross-entropy loss Graph attention network Spatial domains Spatial regularization constraint Spatial resolved transcriptomics

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

DOI 10.1186/s12864-024-11072-w

PMID 39614161

发布时间 2024-12-02

基金项目

62303271/National Natural Science Foundation of China U1806202/National Natural Science Foundation of China ZR2023QF081/Natural Science Foundation of Shandong Province

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准确一般字义偏差语意偏离译文作用小提交