Fig. 6

Performance comparison of similarities learned from scNPF-fusion with different network combinations on eight published scRNA-seq data sets. a Internal validation metric of Dunn was employed to measure the cell separation. b ARI is employed to measure the concordance between inferred and true cluster labels. K-means clustering is applied on the similarity matrices obtained from different methods. K-means clustering is repeated for 10 times. Each dot represents an individual K-means clustering run and each bar represents the median performance. Detailed information of the data sets is shown in Additional file 2: Table S1