Important Gene and Cell counts across all single-cell datasets in our collection.
| Dataset | Important Gene Count | Cell Count |
|---|
Disease across all single-cell datasets in our collection.
| Disease | Count | Percentage |
|---|
We respectively employed model methods including
scVelo-Dynamical, scVelo-Stochastic, scVelo-Deterministic, DeepVelo-NeuralNetwork, UniTVelo-Unified, and UniTVelo-Independent.
Based on the dimensionality reduction results of UMAP and t-SNE, we performed cell clustering analysis using Seurat,
implemented cell type annotation via SingleR and scType algorithms, and finally generated Velocity Stream Plots.
Species distribution and Sample Count across all single-cell datasets in our collection.
| Species | Dataset Count | Sample Count | Percentage of Samples |
|---|
Tissue/Organ distribution across all single-cell datasets in our collection.
| Tissue/Organ | Count | Percentage |
|---|
Celltypes distribution across all single-cell datasets in our collection.
| Celltypes |
|---|
Status Database distribution across all single-cell datasets in our collection.
We present our single-cell dataset spanning May 2018 to April 2024, with monthly resolution.
| Status Database | Count | Percentage |
|---|