scVAG: Unified single-cell clustering via variational-autoencoder integration with Graph Attention Autoencoder

scVAG: Unified single-cell clustering via variational-autoencoder integration with Graph Attention Autoencoder

Single-cell RNA sequencing (scRNA-seq) enables high-resolution transcriptional profiling of cell heterogeneity. However, analyzing this noisy, high-dimensional matrix remains challenging. We present scVAG, an integrated deep learning framework combining Variational-Autoencoder (VAE) and Graph Attent...

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Bibliographic Details
Main Authors: Seyedpouria Laghaee, Morteza Eskandarian, Mohammadamin Fereidoon, Somayyeh Koohi
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Heliyon
Subjects:
Single-cell RNA sequencing
Variational-autoencoder
Graph attention autoencoder
Clustering
Dimensionality reduction
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024167631
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http://www.sciencedirect.com/science/article/pii/S2405844024167631

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