SpaConTDS: A multimodal contrastive learning framework for identifying spatial domains by applying tuple disturbing strategy
Fig 3
Integration abilities of SpaConTDS.
(A) Slice sampling diagram and manual annotations of DLPFC slice 151673, 151674, 151675 and 151676. (B) Overlapping diagram of three partially overlapping slices from the human placental bed dataset. (C) Clustering results with ARI of SpaConTDS, STAGATE, GraphST, Scanpy and IRIS on four DLPFC slices. (D) Vertical integration results of DLPFC slices. UMAP plots after batch effect correction (top) and spatial clustering results(bottom) from SpaConTDS, STAGATE, GraphST, Scanpy and IRIS. (E) Partial overlap integration results of human placental bed dataset. UMAP plots after batch effect correction (top) and spatial clustering results (bottom) from SpaConTDS, STAGATE, GraphST, Scanpy and IRIS.