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Table 5 An overview of the published classification results in Alon et al. colon cancer data

From: Combining multiple hypothesis testing and affinity propagation clustering leads to accurate, robust and sample size independent classification on gene expression data

Authors

Cross Validation

Train-Test

Features

 

Samples

Accuracy (%)

Samples

Accuracy (%)

 

[67]

57/62

91.94

-

 

-

[67]

53/62

85.48

-

 

-

[66]

-

-

-

90.3

-

[64]

-

-

-

94.1~

-

[68]

-

-

-

80.6

-

[68]

-

-

-

74.2

-

[68]

-

-

-

72.6

-

[65]

-

-

-

87.1

-

[65]

-

-

-

87.1

-

[65]

-

-

-

93.5

50

[65]

-

-

-

91.9

1000

[69]

52/62 (MAVE-LD)

83.87

-

-

50

[60]

56/62

90.3

-

-

50

[63]

59/62

95.16

-

-

135

mAP-KL (RF)

-

96.00

26/32

81.25

20

mAP-KL (KNN)

-

96.00

26/32

81.25

20

mAP-KL (SVM-linear)

-

94.00

28/32

87.50

20

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BMC Bioinformatics

ISSN: 1471-2105

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