Fig. 1: Overview of MENDER.
From: MENDER: fast and scalable tissue structure identification in spatial omics data
A The input of MENDER is spatial omics data, containing a gene expression matrix and a spatial coordinate matrix. B, C The main body of MENDER. The cell distance matrix is computed using the spatial coordinate matrix and the cell state is determined by the gene expression matrix (B). The cell state frequencies are recorded across multiple ranges away from each cell (C). Applications of MENDER. MENDER can perform multi-slice spatial domain identification (D), identify condition-specific spatial signatures (E), interpret the context representation to biological entities (F), and scale to large datasets (G).
