scDSSC: Deep Sparse Subspace Clustering for scRNA-seq Data
Fig 3
The results of cell visualization and annotation.
We have given the real cell types on the visualization results, which can help us more intuitively obtain the biological information contained in scRNA-seq datasets. In the figure, we can clearly see the location relationship and distribution between different types of cells. Left A is the visualization result of Romanov dataset, which has 7 cell types. And B represents the results of Human1 dataset, which has 14 cell types.