svmClassification: Protein subcellular localization classification

Description Usage Arguments Value Examples

View source: R/svmClassifier.R

Description

Support Vector Machine classifier is trained and used for prediction of protein subcellular localization

Usage

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svmClassification(markerProteins, protein.data, markerprot.df)

Arguments

markerProteins

character; robust marker proteins along with subcellular localization that are present in the given data.

protein.data

data.frame; fractionated proteomics data

markerprot.df

data.frame; collection of marker proteins along with corresponding subcellular localization

Value

all.classifications

Examples

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{

df <- loadData(SubCellBarCode::hcc827Ctrl)

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

set.seed(7)
c.prots <- sample(c.prots, 500)
cls <- svmClassification(c.prots, df, markerProteins)

}

TanerArslan/SubCellBarCode documentation built on June 7, 2021, 9 a.m.