Soft graph clustering for single-cell RNA sequencing data

Soft graph clustering for single-cell RNA sequencing data

Abstract Background Clustering analysis is fundamental in single-cell RNA sequencing (scRNA-seq) data analysis for elucidating cellular heterogeneity and diversity. Recent graph-based scRNA-seq clustering methods, particularly graph neural networks (GNNs), have significantly improved in tackling the...

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Bibliographic Details
Main Authors: Ping Xu, Pengfei Wang, Zhiyuan Ning, Meng Xiao, Min Wu, Yuanchun Zhou
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Bioinformatics
Subjects:
Bioinformatics
scRNA-seq data
Soft graph clustering
Deep cut-informed graph embedding
Online Access:https://doi.org/10.1186/s12859-025-06231-z
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