I am currently working with scRNA-seq data. I have to rank or score genes based on how spatially expressed they are. Is there any good measure or tool to do that?
I want to think that you already tried Seurat or Scanpy, but if that is not the case you should check them out. I saw that you can rank genes and see differential expression and they have very good tutorials.
Seurat can be used as answered by Noel Cabañas . You can follow this tutorial to start the analysis : https://scrnaseq-course.cog.sanger.ac.uk/website/introduction-to-single-cell-rna-seq.html
Thanks for you replies. Seurat and Scanpy seem to find DEGs with respect to a particular cell type. Given a cell type in the data, it helps me to find genes which are enriched in that cell type when compared to all other cells. But, I want a tool where it takes all the cells together and gives me a score for genes based on their expression pattern (0-cell type specific; 1-Ubiquitous)