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Table 2 GSEA approach results running limma GSEA with and without chromosome profile correction

From: Statistical Test of Expression Pattern (STEPath): a new strategy to integrate gene expression data with genomic information in individual and meta-analysis studies

Rank

GSEA - limma

q-value

GSEA - limma - corrected

q-value

1

B Cell Receptor Signaling Pathway;Cellular Process

1.62E-05

B Cell Receptor Signaling Pathway;Cellular Process

2.68E-05

2

hsa03018;RNA degradation

1.44E-03

SuperArray;G-Proteins/Signaling Molecules

1.33E-03

3

SuperArray;G-Proteins/Signaling Molecules

1.53E-03

hsa03018;RNA degradation

2.31E-03

4

TNF-alpha/NF-kB Signaling Pathway;Cellular Process

3.79E-03

TNF-alpha/NF-kB Signaling Pathway;Cellular Process

2.93E-03

5

hsa00510;N-Glycan biosynthesis

4.20E-03

Translation Factors;Cellular Process

5.30E-03

6

hsa04142;Lysosome

8.78E-03

hsa00510;N-Glycan biosynthesis

5.40E-03

7

SuperArray;Autophagy

8.95E-03

hsa04142;Lysosome

6.40E-03

8

BioCarta;Erk and PI-3 Kinase Are Necessary for Collagen Binding in Corneal Epithelia

9.36E-03

SuperArray;Autophagy

8.21E-03

9

Translation Factors;Cellular Process

9.38E-03

hsa05110;Vibrio cholerae infection

9.42E-03

10

BioCyc;glyoxylate cycle II

1.06E-02

BioCarta;Erk and PI-3 Kinase Are Necessary for Collagen Binding in Corneal Epithelia

9.42E-03

  1. Limma GSEA algorithm was run using the chromosome profile correction. Significance of the differentially expressed gene sets increases in comparison with results obtained without introducing chromosome profile correction, suggesting that it targets disease-related genes.