tImpute: Tail-based impute

In PengyiYang/PhosR: A set of methods and tools for comprehensive analysis of phosphoproteomics data

Description

Tail-based imputation approach as implemented in Perseus.

Usage

tImpute(mat, m, s)

Arguments

mat	a matrix with rows correspond to phosphosites and columns correspond to samples.
m	a numeric number for controlling mean downshifting.
s	a numeric number for controlling standard deviation of downshifted sampling values.

Value

An imputed matrix

Examples

data('phospho.cells.Ins.sample')
grps = gsub('_[0-9]{1}', '', colnames(phospho.cells.Ins))
phospho.cells.Ins.filtered <- selectGrps(phospho.cells.Ins, grps, 0.5, n=1)

set.seed(123)
phospho.cells.Ins.impute <- tImpute(phospho.cells.Ins.filtered)

PengyiYang/PhosR documentation built on June 21, 2020, 8:37 a.m.