We analyze single-cell ATAC-seq data from 5000 PBMC cells and use cuDF to calculate and visualize cluster-specific chromatin accessibility in selected marker regions. Finally, we use a deep learning model trained with AtacWorks, to improve the accuracy of the chromatin accessibility track and call peaks in individual clusters.
You can read more about the demonstration here. You can find the tutorial here