Fig. 4
From: Assessment of computational methods for the analysis of single-cell ATAC-seq data
Benchmarking results using the Buenrostro2018 scATAC-seq dataset. a Developmental roadmap of cell types analyzed. b Dot plot of scores for each metric to quantitatively measure the clustering performance of each method, sorted by maximum ARI score. c The two top-scoring pairings of scATAC-seq analysis method and clustering technique. UMAP visualization of the feature matrix produced by each method for the Buenrostro2018 dataset. Individual cells are colored indicating the cell type labels shown in a