Fig. 5
From: Unsupervised spatially embedded deep representation of spatial transcriptomics
Application of SEDR on 10 × Visium spatial transcriptomics data of human breast cancer. A Manual pathology labeling based on H&E staining (annotation) and clustering results of eleven methods. B SEDR clusters 11 (core) and 13 (out ring) that captured the annotated DCIS/LCIS_3 region. C Percentage of tumor-associated macrophages (TAMs) in clusters 11 and 13. D Enriched pathways for differentially expressed genes identified between clusters 11 and 13