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Table 2 Comparison of results of using different filtering methods applied to the artificially created dataset

From: Adaptive filtering of microarray gene expression data based on Gaussian mixture decomposition

Method

NF

S_50

V_50

Fixed

Top3

K-means

AS

AV

AS

AV

AS

AV

AUC

12.47

15.14

14.59

17.14

14.10

12.47

14.08

17.41

14.07

Sensitivity

54.73

71.48

69.33

86.54

70.35

54.74

66.08

87.81

66.02

  1. Results illustrated by the area under the ROC curve (average AUC over 50 simulations) from FDR equal 0 to 20% and median sensitivity at 5% FDR calculated across 50 simulations for the case when the proportion between informative and non-informative genes was set to 85% EEGs versus 15% DEGs.
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BMC Bioinformatics

ISSN: 1471-2105

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