Fig. 3
From: GiniClust: detecting rare cell types from single-cell gene expression data with Gini index
GiniClust uncovers rare cell types from the qPCR dataset. a Relationship between the raw Gini index and the log2-transformed maximum expression level. Selected genes with high normalized Gini index values are labeled as red dots. b Overlap between the selected high Gini genes and differentially expressed genes. c t-SNE visualization of the data. Cells are color-coded based on the GiniClust cluster membership. d t-SNE visualization of the same data as in c. Cells are color-coded based on the actual lineage. e Expression levels of representative genes for MASC (n = 24), ISC (n = 23), and other cells (n = 1916). Gene expression levels are normalized as percentage of the corresponding maximum values. f Comparison between GiniClust and RaceID in detection of ISC and MASCs in the mixture of cells