SpaConTDS: A multimodal contrastive learning framework for identifying spatial domains by applying tuple disturbing strategy
Fig 2
Advanced spatial analysis by SpaConTDS reveals detailed spatial stratification for human breast cancer.
(A) H&E stained image, manual annotations and clustering result with ARI of SpaConTDS on human breast cancer dataset. (B) Violin plots of expression of DEGs (EFHD1, SHISA2, CTTN) in subcluster 2 and 15 versus other clusters. (C) Clustering results with ARI of baseline methods on human breast cancer dataset. (D) H&E stained image with manually annotated regions and clustering result with DB index of SpaConTDS on IDC dataset. (E) Top: raw gene expression patterns of CXCL14, MUC1, TCEAL4andCCND1. Bottom: denoised gene expression patterns of CXCL14, MUC1, TCEAL4andCCND1. (F) Clustering results with DB index of baseline methods on IDC dataset.