markerQualityControl: Evaluate the quality of the marker proteins

Description Usage Arguments Value Examples

View source: R/markerQualityControl.R

Description

Given the proteomics data, quality of the overlapped marker proteins are evaluated by correlating replicates of fractions.

Usage

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markerQualityControl(coveredProteins, protein.data)

Arguments

coveredProteins

character; list of marker proteins, gene symbols, that are covered in 3365 marker proteins.

protein.data

data.frame; fractionated proteomics data, rownames are gene symbols associated protein.

Value

robustMarkers

Examples

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{

df <- loadData(SubCellBarCode::hcc827Ctrl)

c.prots <- calculateCoveredProtein(rownames(df), markerProteins[,1])

r.markers <- markerQualityControl(c.prots[1:5], df)
}

SubCellBarCode documentation built on Nov. 8, 2020, 5:26 p.m.