Two samples of the data are MA transformed and normalized at a time, and all pairs of samples are iterated through. Log2-scaled data should be taken as input (on_raw = FALSE).
Usage
loessCycNorm(se, ain = "log2", aout = "LoessCyc", on_raw = FALSE)
Arguments
- se
SummarizedExperiment containing all necessary information of the proteomic dataset
- ain
String which assay should be used as input
- aout
String which assay should be used to save normalized data
- on_raw
Boolean specifying whether normalization should be performed on raw or log2-scaled data
Value
SummarizedExperiment containing the loessCyc normalized data as assay (on log2 scale)
Examples
data(tuberculosis_TMT_se)
tuberculosis_TMT_se <- loessCycNorm(tuberculosis_TMT_se, ain = "log2",
aout = "LoessCyc", on_raw = FALSE)