Fig. 5
From: CIDR: Ultrafast and accurate clustering through imputation for single-cell RNA-seq data
Performance evaluation on the human pancreatic islet scRNA-seq data set. In this data set, there are 60 cells in six cell types after the exclusion of undefined cells and bulk RNA-seq samples. The different colors denote the cell types annotated by the study [22], while the different plotting symbols denote the clusters output by each algorithm. a–e Clustering output for each of the five algorithms compared. f The adjusted rand index is used to measure the accuracy of the clustering output for each of the compared algorithms. PC principal coordinates