Hi Everyone,
I am fairly new to spatial transcriptomics, so I would appreciate any insight people have on the following topic!
I was wondering if anyone has a good method for measuring correlation between cell type prediction scores in spatial single-cell RNAseq data with individual gene expression.
Specifically, I am following the Seurat spatial dataset analysis tutorial, and there is a section where single cell data is integrated with spatial data to assign a prediction score for each cell type to each spot in a spatial dataset (Tutorial linked here: https://satijalab.org/seurat/articles/spatial_vignette#integration-with-single-cell-data). I would like to correlate these cell type prediction scores with the expression of single genes in the spatial data set to objectively determine which cell types likely have the greatest enrichment of the given gene. If anyone has suggestions for methods of how to do this or could point me to a good tutorial/resource, it would be greatly appreciated!
Cheers
