The authors introduce STANDS, a GAN-based framework that integrates three core tasks for the multi-sample detection and dissection of anomalous tissue domains from spatial transcriptomics data, revealing pathogenic heterogeneity behind diseases.
- Kaichen Xu
- Yan Lu
- Xiaobo Sun