scTrans: Sparse attention powers fast and accurate cell type annotation in single-cell RNA-seq data
Fig 3
Cross batch annotation on PBMC45k, mouse brain and mouse pancreas datasets. (a) UMAP visualization of PCA embedding of PBMC45k dataset, including its cell types and technologies, showing batch effects within the dataset. (b) Venn diagrams of the mouse pancreas and mouse brain datasets, illustrating the overlaps between different datasets, indicating differences in cellular composition. The left side represents the overlap in the number of identical cells between different datasets, while the right side shows the overlap in the number of identical cell types. (c) Average accuracy heatmap of annotation task result in PBMC45K, including the results of different methods using different technical datasets on single reference annotation and multi reference annotation tasks. (d) Comparison of accuracy of annotation results for different methods in single reference and multi reference annotation task on mouse pancreas and mouse brain datasets. Error bars were based on mean and 95% confidence. (e) The sankey diagram showing annotation results of scTrans in multi reference annotation task, on the left is MCA Pancreas and on the right is TMS Pancreas.