svmClassification {SubCellBarCode} | R Documentation

## Protein subcellular localization classification

### Description

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

### Usage

    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

    {

    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)

    }

[Package SubCellBarCode version 1.6.0 Index]