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STGAT: Graph attention networks for deconvolving spatial transcriptomics data.

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第一作者： Wei,Li

第一单位： Key Laboratory of Intelligent Computing in Medical Image (MIIC), Northeastern University, Shenyang, 110000, Liaoning, China; National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Shenyang, 110819, Liaoning, China.

作者： Wei,Li ^[1] ; Huixia,Zhang ^[2] ; Linjie,Wang ^[3] ; Pengyun,Wang ^[4] ; Kun,Yu ^[5]

作者单位： Key Laboratory of Intelligent Computing in Medical Image (MIIC), Northeastern University, Shenyang, 110000, Liaoning, China; National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Shenyang, 110819, Liaoning, China. ^[1] School of Computer Science and Engineering, Northeastern University, Shenyang, 110819, Liaoning, China. Electronic address: 2310755@stu.neu.edu.cn. ^[2] School of Computer Science and Engineering, Northeastern University, Shenyang, 110819, Liaoning, China. Electronic address: 2110696@stu.neu.edu.cn. ^[3] School of Computer Science and Engineering, Northeastern University, Shenyang, 110819, Liaoning, China. ^[4] College of Medicine and Bioinformation Engineering, Northeastern University, Shenyang, 110819, Liaoning, China. ^[5]

关键词 Cell type deconvolution Graph attention networks Single-cell RNA sequencing Spatial transcriptomics