scvi.data.retina#

scvi.data.retina(save_path='data/')[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 : str (default: 'data/')

Location to use when saving/loading the data.

Return type:

AnnData

Returns:

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

Examples

>>> adata = retina()