scvi.data.retina

scvi.data.retina(save_path='data/', run_setup_anndata=True)[source]

Loads retina dataset.

The dataset of bipolar cells contains after their original pipeline for filtering 27,499 cells and 13,166 genes coming from two batches. We use the cluster annotation from 15 cell-types from the author. We also extract their normalized data with Combat and use it for benchmarking.

Parameters
save_path : strstr (default: 'data/')

Location to use when saving/loading the data.

run_setup_anndata : boolbool (default: True)

If true, runs setup_anndata() on dataset before returning

Return type

AnnDataAnnData

Returns

AnnData with batch info (.obs['batch']) and label info (.obs['labels'])

Examples

>>> adata = retina()