Simultaneous profiling of spatial transcriptomics (ST) and metabolomics (SM) offers a novel way to decode tissue microenvironment heterogeneity. Here, the authors present SpatialMETA, a conditional variational autoencoder-based framework designed for the integration of ST and SM data.
- Ruonan Tian
- Ziwei Xue
- Wanlu Liu
