Ifrah Tariq

CellVGAE uses graph attention networks for scRNA-seq analysis, improving dimensionality reduction and clustering across multiple datasets.

This paper explores autoencoder architectures for integrating cancer patient data and demonstrates their effectiveness in analyzing heterogeneous breast cancer data for accurate diagnosis.