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...

Full description

Bibliographic Details

Published in:	PLoS computational biology Vol. 21; no. 11; p. e1013697
Main Authors:	Zhang, Tianjiao, Zhu, Haibin
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science (PLoS) 01.11.2025
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!