How to interpret highly variable genes plot in Scanpy?
Hey ya'll,
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!
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mt_pereira •
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Pratik
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Pratik
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Hello! I am going through scanpy and have the same doubt. Have you reached a conclusion on how to interpret the data presented by these graphs?