GRAS4T: Spatial domains identification in spatial transcriptomics by domain knowledge-aware and subspace-enhanced graph contrastive learning
GRAS4T combines the advantages of subspace analysis and graph representation learning with interpretability and extensibility, making it an ideal framework for ST domain identification.
numpy==1.23.5
pandas==1.1.5
scikit-learn==0.24.2
scipy==1.5.4
pytorch==1.8.0
scanpy==1.9.1