How do I interpret this plot in the Scanpy Tutorial https://scanpy-tutorials.readthedocs.io/en/latest/pbmc3k.html:
sc.pp.highly_variable_genes(adata, min_mean=0.0125, max_mean=3, min_disp=0.5) extracting highly variable genes finished (0:00:00) --> added 'highly_variable', boolean vector (adata.var) 'means', float vector (adata.var) 'dispersions', float vector (adata.var) 'dispersions_norm', float vector (adata.var)
I understand that the algorithm is identifying highly variable genes, but I don't quite understand what the y-axis means by
dispersions of genes
Any help would be appreciated!