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Table 3 Accuracies of predicting MOA’s in the adjusted 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

Microarray

Ensemble

62

56,66

44,73

100,49

 

SVM

50

33,60

44,54

83,39

 

RF

67

89,54

22,94

100,56

 

PLS+LDA

67

67,67

44,81

100,56

 

PLS+RF

54

44,60

33,67

100,39

 

PCA+LDA

12

33,0

0,20

0,17

 

PCA+RF

8

22,0

0,13

0,11

 

RPART

62

100,39

11,93

83,55

RNASeq

Ensemble

62

56,66

44,73

100,49

 

SVM

54

44,60

33,67

100,39

 

RF

62

78,52

22,86

100,49

 

PLS+LDA

58

44,66

44,66

100,44

 

PLS+RF

50

44,54

22,67

100,33

 

PCA+LDA

33

33,33

0,53

83,16

 

PCA+RF

25

22,27

0,40

67,11

 

RPART

42

44,41

22,54

67,34