quantile_norm: Batch-wise quantile normalization per marker

View source: R/02_batch_correct.R

quantile_normR Documentation

Batch-wise quantile normalization per marker

Description

This function quantile normalizes the data in a batch-wise manner. The purpose is to minimize the impact of batch correction when clustering the data prior to batch correction.

Usage

quantile_norm(df, markers = NULL)

Arguments

df

Dataframe with expression values

markers

Markers to correct. If NULL, markers will be found using the get_markers function.

See Also

Other batch: batch_correct(), correct_data(), create_som(), normalize()

Examples

## Not run: 
df_qnorm <- preprocessed %>%
  quantile_norm()
  
## End(Not run)

biosurf/cyCombine documentation built on May 23, 2024, 4:07 a.m.