trisicell.datasets.treated_igg_sw

trisicell.datasets.treated_igg_sw()[source]

Trisicell treated mice (igg, seq-well) scRNAseq data.

The size is n_cells × n_muts = 163 × 1453

Returns: A mudata with two modalities (.mod)
Return type: mudata.MuData

Examples

>>> mdata = tsc.datasets.treated_igg_sw()
>>> mdata
MuData object with n_obs × n_vars = 163 × 56854
2 modalities
  mutation: 163 x 1453
    obs:    'group', 'Mouse_ID', 'Batch', 'Axl', 'Erbb3', 'Mitf', 'H2_K1', ...
    var:    'kind', 'amino_acid_change', 'ensemble', 'gene', 'chrom', ...
    uns:    'trisicell_input', 'trisicell_output'
    layers: 'genotype', 'mutant', 'total'
  expression:       163 x 55401
    obs:    'uniquely_mapped_percent', 'num_splices', 'num_GCAG_splices', ...
    layers: 'fpkm', 'tpm'