View source: R/imputationDIA.R
imputationDIA | R Documentation |
Perform data imputation for your DIA data
imputationDIA(
data,
transformation = c("none", "log2"),
iteration = 3,
method = c("norm.predict", "zeros", "pmm", "midastouch", "sample", "cart", "rf",
"mean", "norm", "norm.nob", "norm.boot", "lasso.norm", "lasso.select.norm", "knn",
"MinDet", "MinProb", "QRILC")
)
data |
Processed data from DIAnn (from iq processing or diann_matrix for example) |
transformation |
Which transformation do you want to apply (log2 or none) |
iteration |
Number of iterations for the imputation. See |
method |
Method used for the imputation. See |
If your data contains iBAQ and or Top3 absolute quantification, then their column
names should start with 'iBAQ_' and 'Top3_' respectively.
Other numeric columns like the number of peptides used for quantification or the
number of theoritical peptides will not be imputed, please keep the default name obtained
with the app or the functions diann_matrix
or diann_maxlfq
.
The imputed data
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