Research Article
Pathway Network Analysis of Complex Diseases Based on Multiple Biological Networks
Table 5
Top 15 pathways identified with our method in Gastric Cancer Data Set.
| Rank | Pathway Name | gene | p-value |
| 1 | KEGG_DNA_REPLICATION | 36 | 1.50e-20 | 2 | KEGG_PROTEASOME | 48 | 9.07e-05 | 3 | KEGG_ARGININE_AND_PROLINE_METABOLISM | 54 | 0.000489 | 4 | KEGG_GLYCEROLIPID_METABOLISM | 49 | 5.12e-05 | 5 | KEGG_PURINE_METABOLISM | 159 | 1.68e-12 | 6 | KEGG_PATHWAYS_IN_CANCER | 328 | 2.52e-09 | 7 | KEGG_SPLICEOSOME | 128 | 0.0003348 | 8 | KEGG_NUCLEOTIDE_EXCISION_REPAIR | 44 | 0.0001406 | 9 | KEGG_MELANOGENESIS | 102 | 0.0481885 | 10 | KEGG_RNA_DEGRADATION | 59 | 0.0003626 | 11 | KEGG_MAPK_SIGNALING_PATHWAY | 267 | 0.0014066 | 12 | KEGG_GLYCEROLIPID_METABOLISM | 49 | 5.119e-05 | 13 | KEGG_DRUG_METABOLISM_CYTOCHROME_P450 | 72 | 0.0115133 | 14 | KEGG_CYTOKINE_CYTOKINE_RECEPTOR_INTERACTION | 267 | 0.0183417 | 15 | KEGG_PROSTATE_CANCER | 89 | 0.0274642 |
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