AnomalGRN: deciphering single-cell gene regulation network with graph anomaly detection

AnomalGRN: deciphering single-cell gene regulation network with graph anomaly detection

Abstract Background Single-cell RNA sequencing (scRNA-seq) is now essential for cellular-level gene expression studies and deciphering complex gene regulatory mechanisms. Deep learning methods, when combined with scRNA-seq technology, transform gene regulation research into graph link prediction tas...

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Bibliographic Details
Main Authors: Zhecheng Zhou, Jinhang Wei, Mingzhe Liu, Linlin Zhuo, Xiangzheng Fu, Quan Zou
Format: Article
Language:English
Published: BMC 2025-03-01
Series:BMC Biology
Subjects:
Gene regulation network (GRN)
Link prediction
Graph anomaly detection
Heterogeneity and sparsification
Online Access:https://doi.org/10.1186/s12915-025-02177-z
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https://doi.org/10.1186/s12915-025-02177-z

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