An improved hierarchical variational autoencoder for cell–cell communication estimation using single-cell RNA-seq data

Analysis of cell–cell communication (CCC) in the tumor micro-environment helps decipher the underlying mechanism of cancer progression and drug tolerance. Currently, single-cell RNA-Seq data are available on a large scale, providing an unprecedented opportunity to predict cellular communications. Th...

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Veröffentlicht in:	Briefings in functional genomics Jg. 23; H. 2; S. 118 - 127
Hauptverfasser:	Liu, Shuhui, Zhang, Yupei, Peng, Jiajie, Shang, Xuequn
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England 20.03.2024
Schlagworte:	Cell Communication Exome Sequencing Gene Expression Profiling - methods Humans Neoplasms Sequence Analysis, RNA - methods Single-Cell Analysis - methods Single-Cell Gene Expression Analysis Tumor Microenvironment cell–cell communication single-cell RNA-seq data HiVAE model pairwise ligand–receptor transfer entropy
ISSN:	2041-2649, 2041-2657, 2041-2657
Online-Zugang:	Volltext
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