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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
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