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Fig. 5  | Cell & Bioscience

Fig. 5 

From: scMTD: a statistical multidimensional imputation method for single-cell RNA-seq data leveraging transcriptome dynamic information

Fig. 5 

scMTD improves the cell visualization and clustering analysis in the Chu (Cell Type) dataset. a The t-distributed stochastic neighbor embedding (tSNE) plots show the cell visualization results in the raw data and imputed data, respectively. b Box plots show the distributions of the average distance between cells from the same cell type. c Plots show the Adjusted Rand Index (ARI), Jaccard Index, and Fowles Mallows (FM) Index of the clustering results in the raw data and imputed data, respectively. The dashed lines represent the average value of the raw data

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