Identification and characterization of alternative exon usage linked glioblastoma multiforme survival

BMC Medical Genomics

Table 8 Ten most significant KEGG pathways from the gene set enrichment analysis of the genome

KEGG Identifier	KEGG Pathway	Over-Expressed Gene¹	Under-Expressed Genes²	Log Odds Ratio³	FDR P-value⁴
hsa03010	ribosome	119	16	−2.4779	9.7E-10
hsa00010	glycolysis / gluconeogenesis	57	27	−1.1614	3.6E-04
hsa00190	oxidative phosphorylation	103	39	−0.9392	3.6E-04
hsa05212	pancreatic cancer	54	45	−0.9460	4.7E-04
hsa05130	pathogenic escherichia coli infection	44	41	−1.0575	4.7E-04
hsa00240	pyrimidine metabolism	42	78	−0.8800	5.0E-04
hsa03050	proteasome	33	32	−1.0965	7.2E-04
hsa00280	valine, leucine and isoleucine degradation	20	48	−1.1353	8.5E-04
hsa04662	b cell receptor signaling pathway	34	65	−0.9084	8.5E-04
hsa05223	non-small cell lung cancer	25	52	−0.9922	9.0E-04

¹Over-Expressed Genes: number of genes that have a positive association between expression and glioblastoma multiforme survival.
²Under-Expressed Genes: number of genes that have a negative association between expression and glioblastoma multiforme survival.
³Log Odds Ratio: indicates whether the category is more enriched among the genes that have a positive association between expression and survival relative to the enrichment among the genes that have a negative association between expression and glioblastoma survival (positive log_e odds ratio) or vice versa (negative log_e odds ratio). Extreme values indicate higher difference in the enrichment percentages between the positive and negative association groups meanwhile values close to zero indicate similar enrichment percentages between positive and negative association groups.
⁴FDR-adjusted P-value: False discovery rate adjusted P-value of the log odds ratio test.

ISSN: 1755-8794