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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Vydané v:	PLoS computational biology Ročník 21; číslo 11; s. e1013697
Hlavní autori:	Zhang, Tianjiao, Zhu, Haibin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Public Library of Science (PLoS) 01.11.2025
Predmet:	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
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