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Integration of unpaired single cell omics data by deep transfer graph convolutional network

Fig 2

Integration and analysis of overlapping cell types from scRNA-seq and scATAC-seq modalities in mouse cell atlas subset data.

a, t-SNE Visualization of scTGCN, Seurat, Conos and scJoint with cell types defined in Cusanovich et al. [46] as Color Labels. b, t-SNE Visualization of scTGCN, Seurat, Conos and scJoint with three protocols. c, Predicted cell types and fractions of agreement with Cusanovich et al. [46] for scTGCN, Seurat, Conos and scJoint. A clearer diagonal structure indicates a higher level of agreement. d, Comparison of modality silhouette coeffcient and cell-type silhouette coeffcient of different methods. e, Comparison of F1 scores of different methods. f, Comparison of ASW of different methods. g, Comparison of SAS of different methods. h, Comparison of NC of different methods. i, Comparison of foscttm of different methods.

Fig 2

doi: https://doi.org/10.1371/journal.pcbi.1012625.g002