View source: R/tidyMS_R6_TransitionCorrelations.R
normalize_log2_robscale | R Documentation |
normalize data by log2 and robust scaling
normalize_log2_robscale(pdata, config)
pdata |
data.frame |
config |
AnalysisConfiguration |
list with data.frame (data) and updated config (config)
Other preprocessing:
INTERNAL_FUNCTIONS_BY_FAMILY
,
apply_to_response_matrix()
,
filter_proteins_by_peptide_count()
,
get_robscales()
,
robust_scale()
,
scale_with_subset()
,
scale_with_subset_by_factors()
bb <- sim_lfq_data_peptide_config(Nprot = 100)
xx <- normalize_log2_robscale(bb$data, bb$config)
xx$config$table$workIntensity
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