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
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'