Skip to main content

Table 2 The summary of sensitivities for the four compared methods under different significant levels (α) and proportions of reproducible genes (γ)

From: Quantitative reproducibility analysis for identifying reproducible targets from high-throughput experiments

 

The proposed Method

The copula mixture method [10]

Benjamini & Heller method [9]

The rank product method [8]

 

α=0.1

α=0.05

α=0.1

α=0.05

α=0.1

α=0.05

α=0.1

α=0.05

γ=80%

0.992(0.0014)

0.991(0.0016)

0.948(0.0881)

0.905(0.1184)

0.97(0.0027)

0.96(0.0031)

0.754(0.0055)

0.687(0.0045)

γ=60%

0.99(0.002)

0.988(0.0021)

0.978(0.0071)

0.956(0.0119)

0.966(0.0028)

0.955(0.0033)

0.878(0.0052)

0.836(0.0058)

γ=40%

0.989(0.0024)

0.987(0.0024)

0.975(0.0069)

0.937(0.0161)

0.962(0.0046)

0.951(0.005)

0.949(0.0045)

0.931(0.0051)

γ=20%

0.985(0.0037)

0.983(0.004)

0.176(0.0149)

0.069(0.0081)

0.949(0.007)

0.937(0.0076)

0.978(0.0046)

0.972(0.0053)

γ=10%

0.984(0.0048)

0.982(0.0051)

0.421(0.1033)

0.228(0.0746)

0.934(0.0098)

0.92(0.0108)

0.985(0.0053)

0.982(0.0055)

γ=5%

0.984(0.0069)

0.983(0.0075)

0.773(0.0741)

0.509(0.0832)

0.925(0.0191)

0.909(0.0195)

0.99(0.0049)

0.988(0.0057)

γ=1%

0.986(0.0176)

0.984(0.0177)

0.907(0.0592)

0.842(0.0882)

0.866(0.0673)

0.844(0.0706)

0.99(0.0163)

0.99(0.0163)