Performs purity correction on TMT RTS data. The number of intensity columns must equal the number of reporters in the impurity file Output is a data frame of the same dimensions
1 2 3 4 5 6 7 8 9 10 | correctImpurities.RTS(
msms,
impurities,
noise,
method = c("NNLS", "OLS"),
noise.replacement.method = c("pre", "post"),
remain.missing = T,
remove.missing.rows = T,
use.razor = T
)
|
msms |
data frame of uncorrected TMT intensities, raw file, and MS2 scan number |
impurities |
data frame of impurities for a specific lot |
noise |
optional data frame of TMT noiseband values, raw file, and MS2 scan number |
method |
purity correction method. Options = "NNLS" and "OLS" |
noise.replacement.method |
should the noiseband replace missing values before or after correction. Options = "pre" and "post" |
remain.missing |
should missing values be set to 0 (missing) after correction or not. Only used if not doing noiseband imputation. True or False |
remove.missing.rows |
should rows containing all missing rows be removed or not. True or False |
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