wrapper.impute.mle: Imputation of peptides having no values in a biological...
In prostarproteomics/DAPAR: Tools for the Differential Analysis of Proteins Abundance with R
View source: R/missingValuesImputation_PeptideLevel.R
wrapper.impute.mle R Documentation
Imputation of peptides having no values in a biological condition.
Description
This method is a wrapper to the function impute.mle() of the
package imp4p adapted to an object of class MSnSet.
It does not impute MEC missing values.
Usage
wrapper.impute.mle(obj)
Arguments
obj
An object of class MSnSet.
Value
The Biobase::exprs(obj) matrix with imputed values instead
of missing
values.
Author(s)
Samuel Wieczorek
Examples
utils::data(Exp1_R25_pept, package = "DAPARdata")
obj <- Exp1_R25_pept[seq_len(10), ]
level <- 'peptide'
metacell.mask <- match.metacell(GetMetacell(obj), c("Missing POV", "Missing MEC"), level)
indices <- GetIndices_WholeMatrix(metacell.mask, op = ">=", th = 1)
obj.imp.na <- wrapper.impute.mle(obj)
prostarproteomics/DAPAR documentation built on Oct. 11, 2024, 12:03 p.m.
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View source: R/missingValuesImputation_PeptideLevel.R
| wrapper.impute.mle | R Documentation |
Imputation of peptides having no values in a biological condition.
Description
This method is a wrapper to the function impute.mle() of the
package imp4p adapted to an object of class MSnSet.
It does not impute MEC missing values.
Usage
wrapper.impute.mle(obj)
Arguments
obj |
An object of class |
Value
The Biobase::exprs(obj) matrix with imputed values instead
of missing
values.
Author(s)
Samuel Wieczorek
Examples
utils::data(Exp1_R25_pept, package = "DAPARdata")
obj <- Exp1_R25_pept[seq_len(10), ]
level <- 'peptide'
metacell.mask <- match.metacell(GetMetacell(obj), c("Missing POV", "Missing MEC"), level)
indices <- GetIndices_WholeMatrix(metacell.mask, op = ">=", th = 1)
obj.imp.na <- wrapper.impute.mle(obj)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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