SpaIM is an open-source style transfer learning model that enriches spatial transcriptomics using single-cell RNA-seq, improving gene coverage, imputation accuracy, and downstream analyses across diverse tissues and platforms.
- Bo Li
- Ziyang Tang
- Qianqian Song