PurifiedPBMCDataset

class scvi.dataset.PurifiedPBMCDataset(save_path='data/', subset_datasets=None, remove_extracted_data=False, delayed_populating=False)

Bases: scvi.dataset.dataset.DownloadableDataset

Purified PBMC dataset from: “Massively parallel digital transcriptional profiling of single cells”.

Parameters

subset_datasets (List[int], ndarray, NoneUnion[List[int], ndarray, None]) – 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”.

Examples

>>> gene_dataset = PurifiedPBMCDataset()

Methods Summary

populate()

Populates a DonwloadableDataset object’s data attributes.

Methods Documentation

populate()

Populates a DonwloadableDataset object’s data attributes.

E.g by calling one of GeneExpressionDataset’s populate_from... methods.