preprocess.horvath_normalise
preprocess.horvath_normalise(data, *, absent='drop', sample_kind='Rejection')Calibrate each sample to Horvath’s gold standard (opt-in).
Parameters
| Name | Type | Description | Default |
|---|---|---|---|
| absent | str | "drop" (default) calibrates on the gold-standard probes the data has, as Knight et al.’s published wrapper does; "fill" sets the absent ones to their gold-standard value first. |
'drop' |
| sample_kind | str | R’s sample.kind for the 20,000-probe draw: "Rejection" (R 3.6.0 and later, the default) or "Rounding" (earlier R). |
'Rejection' |
| Only | required | ||
| unchanged | required | ||
| counts | required | ||
| Use | required | ||
| Knight | required |