Article

Self-supervised Graph Contrastive Learning for scRNA-seq Clustering

2025-12-11

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<title>Abstract</title> <p>Single-cell RNA sequencing (scRNA-seq) technology has enabled us to characterize cellular heterogeneity, and analyzing scRNA-seq data can help enhance our understanding of complex diseases. Clustering of scRNA-seq data is a critical step in the analysis, as it assigns cells to subpopulations, facilitating a deeper understanding of cellular diversity. Although numerous scRNA-seq clusteri...

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Literature Corpus work: 77ed8f31-3ea1-58dc-8d67-8263e2e424ac
DOI: 10.21203/rs.3.rs-8072547/v1

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