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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Vydané v:	Briefings in bioinformatics Ročník 26; číslo 1
Hlavní autori:	Zhang, Tianjiao, Zhang, Xiang, Wu, Zhenao, Ren, Jixiang, Zhao, Zhongqian, Zhang, Hongfei, Wang, Guohua, Wang, Tao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Oxford University Press 22.11.2024 Oxford Publishing Limited (England)
Predmet:	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
On-line prístup:	Získať plný text
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