Library size-stabilized metacells construction enhances co-expression network analysis in single-cell data

Single-cell RNA sequencing (scRNA-seq) deciphers cell type-specific co-expression networks to resolve biological functions but remains constrained by data sparsity and compositional biases. Conventional metacells construction strategies mitigate sparsity by aggregating transcriptionally similar cell...

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Veröffentlicht in:	PLoS computational biology Jg. 21; H. 11; S. e1013697
Hauptverfasser:	Zhang, Tianjiao, Zhu, Haibin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science (PLoS) 01.11.2025
Schlagworte:	Algorithms Alzheimer Disease - genetics Alzheimer Disease - metabolism Brain - metabolism Computational Biology - methods Computer Simulation Gene Expression Profiling - methods Gene Library Gene Regulatory Networks - genetics Humans RNA-Seq - methods Sequence Analysis, RNA - methods Single-Cell Analysis - methods Single-Cell Analysis - statistics & numerical data
ISSN:	1553-7358, 1553-734X, 1553-7358
Online-Zugang:	Volltext
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