sgkit.variables.call_dosage_spec

sgkit.variables.call_dosage_spec = ArrayLikeSpec(default_name='call_dosage', __doc__='\nDosages, encoded as floats, with NaN indicating a missing value.\nDosages can represent one of several possible quantities, e.g.:\n- Alternate allele counts\n- Recessive or dominant allele encodings\n- True dosages as computed from imputed or probabilistic variant calls\n- Any other custom encoding in a user-defined variable\n', kind={'i', 'f', 'u'}, ndim=2, dims=('variants', 'samples'))

Dosages, encoded as floats, with NaN indicating a missing value. Dosages can represent one of several possible quantities, e.g.: - Alternate allele counts - Recessive or dominant allele encodings - True dosages as computed from imputed or probabilistic variant calls - Any other custom encoding in a user-defined variable