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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Bibliographic Details

Published in:	Briefings in functional genomics Vol. 23; no. 2; pp. 118 - 127
Main Authors:	Liu, Shuhui, Zhang, Yupei, Peng, Jiajie, Shang, Xuequn
Format:	Journal Article
Language:	English
Published:	England 20.03.2024
Subjects:	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 Access:	Get full text
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