VGAE-CCI: variational graph autoencoder-based construction of 3D spatial cell–cell communication network

Abstract Cell–cell communication plays a critical role in maintaining normal biological functions, regulating development and differentiation, and controlling immune responses. The rapid development of single-cell RNA sequencing and spatial transcriptomics sequencing (ST-seq) technologies provides e...

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Veröffentlicht in:	Briefings in bioinformatics Jg. 26; H. 1
Hauptverfasser:	Zhang, Tianjiao, Zhang, Xiang, Wu, Zhenao, Ren, Jixiang, Zhao, Zhongqian, Zhang, Hongfei, Wang, Guohua, Wang, Tao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Oxford University Press 22.11.2024 Oxford Publishing Limited (England)
Schlagworte:	Algorithms Cell Communication Cell differentiation Cell interactions Communication Communication networks Computational Biology - methods Deep Learning Gene Expression Profiling - methods Gene sequencing Graph neural networks Humans Immune response Problem Solving Protocol Reliability Single-Cell Analysis - methods Spatial data Tissues Transcriptome Transcriptomics cell–cell communication variational graph autoencoder scRNA-seq ST-seq
ISSN:	1467-5463, 1477-4054, 1477-4054
Online-Zugang:	Volltext
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