computeThresholdNeighborhood {SubCellBarCode} | R Documentation |
Thresholds for each neighborhood are decided to get confident predictions.
computeThresholdNeighborhood(test.repA, test.repB)
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 |
threshold.neighborhood.df
{ df <- loadData(SubCellBarCode::hcc827Ctrl) c.prots <- calculateCoveredProtein(rownames(df), markerProteins[,1]) set.seed(7) c.prots <- sample(c.prots, 600) cls <- svmClassification(c.prots, df, markerProteins) test.A <- cls[[1]]$svm.test.prob.out test.B <- cls[[2]]$svm.test.prob.out t.n.df <- computeThresholdNeighborhood(test.A, test.B) }