prot.impute: Impute missing values in a SummarizedExperiment object

prot.imputeR Documentation

Impute missing values in a SummarizedExperiment object

Description

Imputes missing values in a SummarizedExperiment object.

Usage

prot.impute(
  se,
  fun = c("bpca", "knn", "QRILC", "MLE", "MinDet", "MinProb", "man", "min", "zero",
    "mixed", "nbavg", "SampMin"),
  ...
)

Arguments

se

A SummarizedExperiment object

fun

A character string specifying the imputation method to use. The available methods are "bpca", "knn", "QRILC", "MLE", "MinDet", "MinProb", "man", "min", "zero", "mixed", "nbavg", and "SampMin".

...

Additional arguments passed to the imputation function.

Details

"SampMin" replaces missing values with the minimum value found in each sample. For information about the remaining imputation methods, see help("imputeMethods", "MsCoreUtils")

Value

A SummarizedExperiment object with imputed values

See Also

prot.make_unique, prot.make_se

Examples

data(mset)
se <- make_se(mset)
se <- prot.impute(se, fun = "knn")


NicWir/VisomX documentation built on Dec. 8, 2024, 1:27 a.m.