scvi.data.purified_pbmc_dataset#
- scvi.data.purified_pbmc_dataset(save_path='data/', subset_datasets=None)[source]#
Purified PBMC dataset from: “Massively parallel digital transcriptional profiling of single cells”.
- Parameters:
save_path (str) – Location to use when saving/loading the data.
subset_datasets (Optional[List[str]]) – index for subsetting the follwing list of datasets which are used to form the
PurifiedPBMCDataset
: “cd4_t_helper”, “regulatory_t”, “naive_t”, “memory_t”, “cytotoxic_t”, “naive_cytotoxic”, “b_cells”, “cd4_t_helper”, “cd34”, “cd56_nk”, “cd14_monocytes”.
- Returns:
AnnData with batch info (
.obs['batch']
) and label info (.obs['labels']
)- Return type:
Examples
>>> import scvi >>> adata = scvi.data.purified_pbmc_dataset()