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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出版年:	BMC Genomics
主要な著者:	Zeyu Fu, Chunlin Chen, Song Wang, Junping Wang, Shilei Chen
フォーマット:	論文
言語:	英語
出版事項:	BMC 2025-08-01
主題:	Graph attention networks Neural ordinary differential equation Variational autoencoders Clustering ScRNA-seq ScATAC-seq
オンライン･アクセス:	https://doi.org/10.1186/s12864-025-11946-7