trisicell.datasets.sublines_scrnaseq

trisicell.datasets.sublines_scrnaseq()[source]

Trisicell sublines scRNAseq data.

The size is n_cells × n_muts = 175 × 450

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

Examples

>>> mdata = tsc.datasets.sublines_scrnaseq()
>>> mdata
MuData object with n_obs × n_vars = 175 × 55851
2 modalities
  expression: 175 x 55401
    obs:    'cells', 'uniquely_mapped_percent', 'num_splices', ...
    layers: 'fpkm', 'tpm'
  mutation: 175 x 450
    obs:    'cells', 'clone', 'group', 'group_color', 'is_red', 'is_sub', ...
    var:    'kind', 'amino_acid_change', 'ensemble', 'gene', 'chrom', ...
    layers: 'genotype', 'mutant', 'total', 'trisicell_input', 'trisicell_output'