Perform groupwise linear rescaling of high-dimensional cytometry measurements
Source:R/batch_correction.R
tof_batch_correct_rescale.RdThis function performs quantile normalization on high-dimensional cytometry data in tidy format using linear rescaling. Each channel specified by `channel_cols` is rescaled such that the maximum value is 1 and the minimum value is 0. `group_cols` specifies the columns that should be used to break cells into groups in which the rescaling should be performed separately.
Arguments
- tof_tibble
A `tof_tbl` or a `tibble`.
- channel_cols
Unquoted column names representing columns that contain single-cell protein measurements. Supports tidyselect helpers.
- group_cols
Optional. Unquoted column names indicating which columns should be used to group cells before batch correction. Batch correction is then performed independently within each group. Supports tidyselect helpers.
- augment
A boolean value indicating if the output should replace the `channel_cols` in `tof_tibble` with the new, batch corrected columns (TRUE, the default) or if it should only return the batch-corrected columns (FALSE) with all other columns omitted.