Skip to main content

Table 4 The statistic on DEGs, DEVGs and their overlapping with pathway or disease genes (Diabetes)

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

 

DEGa

DEVG

PG_DEG

DG_DEG

PG_DEVG

DG_DEVG

DEGup

DEGdown

DEVGup

DEVGdown

GSE41762

2558

345

658

523

79

63

1493

1065

160

185

GSE38642

2306

632

647

515

167

128

1294

1012

389

243

Overlapping

836

28

246

10

219

3

489

346

15

13

Significance

0

7.4832e-07

0

3.3539e-11

0

0.00059927

0

0

5.2401e-08

3.6083e-08

  1. aDEG points genes with differential expression; DEVG points genes with differential expression variance; PG_DEG points the pathway genes in DEGs, i.e., the overlaps between pathway genes and DEGs; DG_DEG points the disease genes in DEGs, i.e., the overlaps between disease genes and DEGs; PG_DEVG points the pathway genes in DEVGs, i.e., the overlaps between pathway genes and DEVGs; DG_DEVG points the disease genes in DEVGs, i.e., the overlaps between disease genes and DEVGs; DEGup and DEGdown point genes with up-regulation and down-regulation respectively; DEVGup and DEVGdown point genes with relax-regulation and tight-regulation respectively