Skip to main content

Table 4 Accuracies of predicting MOA’s in the originally given test set, based on classifiers developed on complete gene expression sets profiled from microarray and RNASeq platforms

From: Inter-platform concordance of gene expression data for the prediction of chemical mode of action

Platform Classifier Overall Acc. % Sensitivity, Specificity  
    PPARA CAR/PXR Control OTHER
Microarray Ensemble 55 33,61 44,58 100,48 56,54
  SVM 55 0,70 0,70 83,50 100,21
  RF 55 0,70 0,70 83,50 100,21
  PLS+LDA 38 67,30 44,36 100,28 0,66
  PLS+RF 60 11,73 0,76 100,53 100,30
  PCA+LDA 17 0,22 11,19 83,6 6,25
  PCA+RF 38 0,48 0,48 0,44 89,0
  RPART 48 100,34 0,61 83,42 33,59
RNASeq Ensemble 55 44,58 33,61 100,48 56,54
  SVM 55 0,70 0,70 83,50 100,21
  RF 52 0,66 0,66 83,47 94,20
  PLS+LDA 33 44,30 44,30 100,22 0,58
  PLS+RF 60 0,76 22,70 100,53 94,34
  PCA+LDA 10 0,13 22,7 33,6 0,18
  PCA+RF 43 0,55 0,55 17,47 94,5
  RPART 24 44,19 22,25 67,17 0,42