View source: R/02_batch_correct.R
quantile_norm | R Documentation |
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.
quantile_norm(df, markers = NULL)
df |
Dataframe with expression values |
markers |
Markers to correct. If NULL, markers will be found using the |
Other batch:
batch_correct()
,
correct_data()
,
create_som()
,
normalize()
## Not run:
df_qnorm <- preprocessed %>%
quantile_norm()
## End(Not run)
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