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

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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Bibliographic Details
Main Authors: Zeyu Fu, Chunlin Chen, Song Wang, Junping Wang, Shilei Chen
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Genomics
Subjects:
Graph attention networks
Neural ordinary differential equation
Variational autoencoders
Clustering
ScRNA-seq
ScATAC-seq
Online Access:https://doi.org/10.1186/s12864-025-11946-7
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https://doi.org/10.1186/s12864-025-11946-7

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