A hybrid adversarial autoencoder-graph network model with dynamic fusion for robust scRNA-seq clustering

A hybrid adversarial autoencoder-graph network model with dynamic fusion for robust scRNA-seq clustering

Abstract Background Single-cell RNA sequencing (scRNA-seq) allows the exploration of biological heterogeneity among different cell types within tissues at a single-cell resolution. Cell clustering serves as a foundation for scRNA-seq data analysis and provides new insights into the heterogeneity of...

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Bibliographic Details
Main Authors: Binhua Tang, Yingying Feng, Xinyu Gao
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Genomics
Subjects:
ScRNA-seq
Self-supervised clustering
GCN
Adversarial AE
Cross-attention mechanism
Online Access:https://doi.org/10.1186/s12864-025-11941-y
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https://doi.org/10.1186/s12864-025-11941-y

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