Fig. 3
From: Assessment of computational methods for the analysis of single-cell ATAC-seq data
Benchmarking results in simulated bone marrow datasets at a noise level of 0.4 and a coverage of 2500 fragments. a Cell types used to create the simulated dataset. 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. Cell cluster assignments from each method are shown using the colors in the legend on the left. d UMAP visualization of the feature matrix produced by each method for the simulated dataset. Individual cells are colored indicating the cell type labels shown in a