Figure 1.
The workflow of clustering analysis using KBC. (A) Beginning with a spatial transcriptomics (ST) data set, the spatial information L and the gene expression information E are integrated to produce a graph that contains both cell location and gene expression information. (B) A graph-embedding scheme converts a graph into a vector representation, as shown on the left, which is ready to be used for clustering. The illustration shows the two steps of the proposed KBC algorithm.
