Identifies common genes between a spatial transcriptomics dataset (seu_obj) and a single-cell RNA-seq reference dataset (ref). From this objec the Spearman correlation coefficient is computed based on the mean expression levels of these genes across the datasets. The result is a single correlation coefficient value that quantifies the similarity between the two datasets at the expression level of shared genes.
Arguments
- seu_obj
A Seurat object containing spatial transcriptomics data.
- ref
A Seurat object containing single-cell RNA-seq data used as a reference.
Value
A data frame with columns for sample_id, platform, and the Spearman correlation coefficient value.
Details
This function is particularly useful for assessing the overall concordance between spatial transcriptomics data and a reference single-cell RNA-seq dataset. By focusing on common genes, it provides a metric of similarity that can help validate spatial data against established single-cell profiles or compare spatial datasets against different references.