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Table 5 Characterization of each method's performances

From: Functional Analysis: Evaluation of Response Intensities - Tailoring ANOVA for Lists of Expression Subsets

Ā 

a2.fixed

faeri.

fixed.null

faeri.

fixed.perms

GSA.

mean*

GSA.

absmean*

GSA.

maxmean*

Globaltest.

asymptotic

Globaltest.

gamma

Globaltest.

perm

Gsea.

pval

Gsea.

fdr

Samgs.

pval

100% uni

100%

99%

99%

57%

62%

56%

97%

99%

98%

99%

88%

99%

50% uni

94%

87%

89%

50%

51%

50%

71%

9'%

92%

71%

62%

90%

100%uni + cor

94%

84%

85%

50%

51%

51%

60%

67%

62%

58%

51%

61%

50%uni + cor

82%

76%

77%

50%

50%

50%

59%

65%

62%

56%

57%

61%

100% bidir

50%

100%

100%

50%

83%

70%

100%

100%

100%

55%

50%

100%

50% bidir

50%

97%

97%

50%

53%

51%

96%

100%

100%

50%

50%

100%

100% bidir + cor

50%

94%

94%

50%

55%

54%

69%

75%

71%

58%

54%

71%

50% bidir + cor

50%

87%

88%

50%

51%

50%

68%

75%

71%

51%

50%

70%

Mean

71%

90%

91%

51%

57%

54%

77%

84%

82%

62%

58%

81%

Rank

7

2

1

12

10

11

6

3

4

8

9

5

  1. Comparison of the number of true positives and true negatives to the total number of tests (VP+VN)/(P+N). For information, we also computed the mean value for the 8 types of groups studied. The significance threshold to select groups was set at 0.01. The highlighted (in bold) values are relative to methods obtaining a score of more than 75%. The four global methods are more appropriate for geneset analysis and the two-step methods show poor performance. Among the global methods, only ANOVA-2 and FAERI happen to be suited for unidirectional correlated genesets. FAERI and SAMGS are the only methods adapted for the study of bidirectional correlated genesets. Across all genesets tested, the methods giving the best results were: FAERI (perms), FAERI (null), SAMGS (q-value), GlobaTest (gamma), GlobaTest (perms), SAMGS (p-value), GlobalTest (asymptotic). FAERI is the only method suited for the study of all types of genesets tested.