GATES: Graph Attention Network with Global Expression Fusion for Deciphering Spatial Transcriptome Architectures

Single-cell spatial transcriptomics (ST) offers a unique approach to measuring gene expression profiles and spatial cell locations simultaneously. However, most existing ST methods assume that cells in closer spatial proximity exhibit more similar gene expression patterns. Such assumption typically...

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Veröffentlicht in:	arXiv.org 2024-10
Hauptverfasser:	Xiao, Xiongtao, Chen, Xiaofeng, Jiang, Feiyan, Zhang, Songming, Cao, Wenming, Tan, Cheng, Gao, Zhangyang, Li, Zhongshan
Format:	Artikel
Sprache:	eng
Schlagworte:	Biological effects Feature extraction Gene expression Multisensor fusion Proximity Spatial data Tissues
Online-Zugang:	Volltext
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