Integration of unpaired single cell omics data by deep transfer graph convolutional network
Fig 5
Integration of multimodal PBMC data.
a, t-SNE visualizations of PBMC data, comparing scTGCN, Seurat, Conos and scJoint results. b, The plot represents different technology of scTGCN, Seurat, Conos and scJoint. c, Predicted cell types and fractions of agreement with true label. For scTGCN, Seurat, Conos and scJoint. A clearer diagonal structure indicates a higher level of agreement. d, Comparison of F1 scores of scTGCN, Seurat, Conos and scJoint. e, Comparison of modality silhouette coefcient and cell-type silhouette coefcient of different methods. f, Comparision of ASW of different methods. g, Comparision of foscttm of differet methods. h, Comparision of NC of differet methods. i, Comparision of SAS of different methods.