Research Article
Pathway Network Analysis of Complex Diseases Based on Multiple Biological Networks
Table 2
Top 15 pathways identified with our method.
| Rank | Pathway Name | gene | p-value |
| 1 | KEGG_FATTY_ACID_METABOLISM | 42 | 5.76e-12 | 2 | KEGG_STARCH_AND_SUCROSE_METABOLISM | 52 | 0.0047780 | 3 | KEGG_SPLICEOSOME | 128 | 3.63e-12 | 4 | KEGG_PPAR_SIGNALING_PATHWAY | 69 | 8.64e-21 | 5 | KEGG_P53_SIGNALING_PATHWAY | 69 | 0.0005045 | 6 | KEGG_ADIPOCYTOKINE_SIGNALING_PATHWAY | 68 | 2.23e-09 | 7 | PID_SHP2_PATHWAY | 58 | 2.40e-05 | 8 | PID_BARD1_PATHWAY | 29 | 0.0010373 | 9 | REACTOME_MRNA_3_END_PROCESSING | 36 | 0.0137007 | 10 | REACTOME_METABOLISM_OF_NON_CODING_RNA | 49 | 0.0008123 | 11 | REACTOME_CELL_CYCLE | 421 | 1.02e-08 | 12 | REACTOME_SIGNALING_BY_BMP | 23 | 0.0247461 | 13 | REACTOME_TRANSPORT_OF_MATURE_TRANSCRIPT_TO_CYTOPLASM | 54 | 0.0426007 | 14 | REACTOME_CELL_CYCLE_MITOTIC | 325 | 9.35e-07 | 15 | REACTOME_PROCESSING_OF_CAPPED_INTRONLESS_PRE_MRNA | 23 | 0.0127461 |
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