STransfer: a transfer learning-enhanced graph convolutional network for clustering spatial transcriptomics data

Key Points

• Results indicate enhanced clustering capabilities using transfer learning techniques for spatial transcriptomics data.
• Application of graph convolutional networks significantly improves data analysis outcomes in cluster identification.
• The method employs advanced graph-based approaches, enhancing traditional clustering techniques for spatial transcriptomics.
• Highlighting the need for better data integration methods in the field, supporting accuracy in clustering outcomes.