GNODEVAE: a graph-based ODE-VAE enhances clustering for single-cell data

Abstract Background Single-cell RNA sequencing analysis faces critical challenges including high dimensionality, sparsity, and complex topological relationships between cells. Current methods struggle to simultaneously preserve global structure, model cellular dynamics, and handle technical noise ef...

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Bibliografski detalji

Glavni autori:	Zeyu Fu, Chunlin Chen, Song Wang, Junping Wang, Shilei Chen
Format:	Artigo
Jezik:	Inglês
Izdano:	BMC 2025-08-01
Serija:	BMC Genomics
Teme:	Graph attention networks Neural ordinary differential equation Variational autoencoders Clustering ScRNA-seq ScATAC-seq
Online pristup:	https://doi.org/10.1186/s12864-025-11946-7
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