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Table 2 Area under ROC curves up to 100 false positives, MAS5, PPLR, BGX, and Logit-T

From: Empirical Bayes models for multiple probe type microarrays at the probe level

Method

Pre-processing

Affymetrix U95

Affymetrix 133A

Golden Spike

Gene Logic Tonsil

Gene Logic AML

LMW

MAS5

89(1)

87(1)

60(1)

79(1)

70(2)

IBMT

MAS5

87(2)

87(2)

59(2)

77(3)

69(3)

LPE

MAS5

84(3)

84(3)

57(3)

78(2)

79(1)

WAME

MAS5

71(6)

81(5)

34(5)

69(4)

54(8)

SAM

MAS5

74(4)

81(4)

11(8)

67(5)

54(9)

LIMMA

MAS5

71(7)

81(6)

31(6)

67(6)

54(6)

Shrink-t

MAS5

71(8)

80(7)

23(7)

67(7)

54(7)

t-test

MAS5

73(5)

76(8)

39(4)

60(9)

47(10)

Efron-t

MAS5

65(9)

72(9)

3(9)

66(8)

57(4)

FC

MAS5

56(10)

61(10)

0(10)

58(10)

55(5)

BGX

 

-

-

58

-

75*

logit-T

 

94

92

-

80

79

PPLR

multi-mgMOS

88

90

57

71

69

# of genes

 

12626

22029

14010

12626

12626

# of spikes

 

16

42

1331

11

11

# of groups

 

20

14

2

12

10

  1. Area under ROC curves up to 100 false positives rounded to nearest integer value with an optimum of 100. Numbers within parenthesis are within data set ranks for the methods compared, and methods are ordered with respect to mean rank across the five data sets (within MAS5 only). *Results in italic are from the subset of 1011 probe sets of the Gene Logic AML data set.