markerQualityControl: Evaluate the quality of the marker proteins
In TanerArslan/SubCellBarCode-R-Package: SubCellBarCode: Integrated workflow for robust mapping and visualizing whole human spatial proteome
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
1
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
1
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{
df <- loadData(SubCellBarCode::hcc827Ctrl)
c.prots <- calculateCoveredProtein(rownames(df), markerProteins[,1])
r.markers <- markerQualityControl(c.prots, df)
}
TanerArslan/SubCellBarCode-R-Package documentation built on May 14, 2019, 9:38 a.m.
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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
1 | 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
1 2 3 4 5 6 7 8 | {
df <- loadData(SubCellBarCode::hcc827Ctrl)
c.prots <- calculateCoveredProtein(rownames(df), markerProteins[,1])
r.markers <- markerQualityControl(c.prots, df)
}
|
R Package Documentation
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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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