computeThresholdCompartment: Probability threshold for compartment classification

Description Usage Arguments Value Examples

View source: R/probabilityThresholdCompartments.R

Description

Thresholds for each compartment are decided to get confident predictions.

Usage

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computeThresholdCompartment(test.repA, test.repB)

Arguments

test.repA

data.frame; test predictions, observation and probablity vectors for each protein in replicate A

test.repB

data.frame; test predictions, observation and probablity vectors for each protein in replicate B

Value

threshold.compartment.df

Examples

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{

df <- loadData(SubCellBarCode::hcc827Ctrl)

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

set.seed(7)
c.prots <- sample(c.prots, 550)
cls <- svmClassification(c.prots, df, markerProteins)

test.A <- cls[[1]]$svm.test.prob.out
test.B <- cls[[2]]$svm.test.prob.out

t.c.df <- computeThresholdCompartment(test.A, test.B)
}

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