View source: R/olink_normalization.R
norm_internal_subset | R Documentation |
This function performs subset normalization using a subset of the samples from either or both reference and non-reference datasets. When all samples from each dataset are used, the function performs intensity normalization.
norm_internal_subset(
ref_df,
ref_samples,
ref_name,
ref_cols,
not_ref_df,
not_ref_samples,
not_ref_name,
not_ref_cols
)
ref_df |
The reference dataset to be used in normalization (required). |
ref_samples |
Character vector of sample identifiers to be used for adjustment factor calculation in the reference dataset (required). |
ref_name |
Project name of the reference dataset (required). |
ref_cols |
Named list of column names in the reference dataset (required). |
not_ref_df |
The non-reference dataset to be used in normalization (required). |
not_ref_samples |
Character vector of sample identifiers to be used for adjustment factor calculation in the non-reference dataset (required). |
not_ref_name |
Project name of the non-reference dataset (required). |
not_ref_cols |
Named list of column names in the non-reference dataset (required). |
Tibble or ArrowObject with the normalized dataset.
Klev Diamanti
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