Skip to main content

Table 4 Accuracy, sensitivity, PPV and F-Score in % for the First 454 dataset and fold change threshold f of 1, 1.5, and 2.

From: Bootstrap-based differential gene expression analysis for RNA-Seq data with and without replicates

Fold Change

Method

Accuracy %

Sensitivity %

PPV %

F-Score %

 

FisherTotal

34.01%

30.50%

95.63%

46.24%

 

FisherHousekeeping

24.52%

20.12%

94.74%

33.38%

1

GFOLD

55.62%

54.18%

92.11%

68.23%

 

IsoDE-Match

75.33%

79.57%

77.41%

78.47%

 

IsoDE-All

78.85%

84.67%

81.04%

82.82%

 

FisherTotal

48.18%

35.37%

89.81%

50.75%

 

FisherHousekeeping

42.48%

24.86%

97.74%

39.63%

1.5

GFOLD

62.19%

58.13%

85.39%

69.17%

 

IsoDE-Match

64.09%

74.19%

72.52%

73.35%

 

IsoDE-All

72.85%

79.54%

80.62%

80.08%

 

FisherTotal

57.96%

39.53%

85.43%

54.05%

 

FisherHousekeeping

55.33%

29.30%

97.67%

45.08%

2

GFOLD

69.05%

61.16%

83.49%

70.60%

 

IsoDE-Match

67.15%

76.51%

70.30%

73.27%

 

IsoDE-All

75.18%

80.93%

78.03%

79.45%

  1. The number of bootstrap samples is M = 200 for IsoDE-Match and M = 20 for IsoDE-All, and bootstrap support was determined using the binomial model with significance level α = 0.05.