Single-cell generative pretrained transformer is a foundation model based on a transformer architecture for cell-type classification. This protocol enables fine-tuning single-cell generative pretrained transformer for efficient handling of single-cell RNA sequencing data and improving annotation accuracy using retinal cells as working example.
- Shanli Ding
- Jin Li
- Rui Chen
