Figure 1.

Overview of our TMP-model scheme. (A) Training and testing schemes of our model. Pre-training dataset is a large scale bulk-cell sequencing dataset and fine-tuning dataset is a single-cell sequencing dataset. (B) Hypothesis of this study. Pre-training with large-scale datasets can improve models based on small datasets and different sequencing technologies. (C) Adjusted rand indexes (ARI) for PCA-based clustering in cell type classification problems in single-cell sequencing datasets. The blue line is an average score, and the light green area is 95% confidence interval. Created with BioRender.com.