RSTG: Robust Generation of High Quality Spatial Transcriptomics Data using Beta Divergence Based AutoEncoder
Agrya Halder, Abhik Ghosh, Sanghamitra Bandyopadhyay
RSTG generates high-quality spatial transcriptomics data using a beta divergence-based autoencoder, showing robustness to noise and outliers across multiple datasets.
IEEE Journal of Biomedical and Health Informatics · Jan 1, 2026Peer-reviewedBioinformatics