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Table 2 The prioritization performance about method comparison on approach-specific datasets (K = 3)

From: Integrative enrichment analysis: a new computational method to detect dysregulated pathways in heterogeneous samples

ID

GSA-specific

PADOG-specific

IEA-specific

MRGSE-specific

ORA-specific

GLOBALTEST-specific

GSVA-specific

PLAGE-specific

GSA

(14.93,12.82)

(25.57,25.66)

(44.47,29.40)

(37.43,26.53)

(45.72,29.72)

(32.23,31.44)

(22.52,26.76)

(33.26,22.45)

PADOG

(11.98,12.48)

(10.06,9.34)

(29.23,23.83)

(19.32,15.79)

(26.56,20.69)

(16.84,21.56)

(15.47,12.87)

(18.80,21.06)

IEA

(52.05,28.86)

(51.15,26.26)

(18.55,11.72)

(68.01,16.79)

(34.14,15.48)

(41.20,26.26)

(53.04,29.63)

(51.87,31.13)

MRGSE

(51.97,30.59)

(51.23,29.03)

(65.81,31.64)

(24.67,16.48)

(74.35,19.55)

(50.63,28.47)

(45.72,27.77)

(49.39,26.17)

ORA

(47.22,31.35)

(48.91,28.29)

(24.80,15.05)

(69.98,17.56)

(23.56,14.62)

(52.38,23.61)

(38.76,28.78)

(53.60,26.98)

GLOBALTEST

(36.52,21.70)

(31.10,18.93)

(30.39,15.78)

(35.44,18.29)

(41.53,18.15)

(14.66,16.19)

(45.29,21.23)

(26.18,22.77)

GSVA

(33.56,24.84)

(47.83,28.90)

(59.09,26.48)

(52.99,27.27)

(52.52,25.58)

(61.99,29.17)

(13.42,10.25)

(62.49,25.01)

PLAGE

(26.44,16.96)

(29.07,20.48)

(42.06,34.24)

(35.48,19.88)

(45.77,24.91)

(30.15,27.15)

(31.86,16.67)

(13.61,11.04)

  1. The performance of an approach on its specific dataset is highlighted in bold. And the performance of comparable approaches on some specific dataset is highlighted in bolditalic