Deep learning powered single-cell clustering framework with enhanced accuracy and stability

Deep learning powered single-cell clustering framework with enhanced accuracy and stability

Abstract Single-cell RNA sequencing (scRNA-seq) has revolutionized the field of cellular diversity research. Unsupervised clustering, a key technique in this exploration, allows for the identification of distinct cell types within a population. Graph-based deep clustering methods have shown promise...

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Bibliographic Details
Main Authors: Yi Zhang, Xi Feng, Yin Wang, Kai Shi
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Deep structural clustering
Unsupervised clustering
scRNA-seq
TAGCN
Attention mechanism
Cellular heterogeneity
Online Access:https://doi.org/10.1038/s41598-025-87672-7
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https://doi.org/10.1038/s41598-025-87672-7

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