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Table 1 Accuracies of predicting MOA’s in the adjusted test set, based on classifiers developed on 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

Microarray

Ensemble

75

89,67

44,94

100,67

 

SVM

58

56,59

33,73

100,44

 

RF

67

89,54

22,94

100,56

 

PLS+LDA

71

67,73

56,80

100,61

 

PLS+RF

58

44,68

44,68

100,45

 

PCA+LDA

17

0,27

0,27

67,0

 

PCA+RF

33

33,33

0,53

83,16

 

RPART

62

100,39

11,93

83,55

RNASeq

Ensemble

67

56,74

56,74

100,56

 

SVM

58

67,54

22,81

100,45

 

RF

58

67,54

22,81

100,45

 

PLS+LDA

67

56,74

56,74

100,56

 

PLS+RF

58

67,54

22,81

100,45

 

PCA+LDA

25

33,20

0,40

50,17

 

PCA+RF

20

22,19

11,25

33,16

 

RPART

46

22,60

33,54

100,28