Fig. 1: CoCo-ST identifies global and local spatial structures enriched in ST datasets.
From: CoCo-ST detects global and local biological structures in spatial transcriptomics datasets
a, Overview of the CoCo-ST workflow. The diagram was created using BioRender. nCount_Spatial, total number of counts (UMIs or reads) captured per spot. b, A background tissue sample with mainly normal lung and a target ST tissue sample containing unique, interesting spatial structures annotated by a pathologist. c, The spatial domains and regions identified using the different feature representation methods. d, Quantitative comparisons of CoCo-ST and competing approaches in terms of ARI and NMI for hotspot domain detection. Genome-wide analysis (c and d) was performed on one independent biological sample (MLP-6).
