19 August 2020 : Database Analysis
Screening and Identification of Potential Peripheral Blood Biomarkers for Alzheimer’s Disease Based on Bioinformatics Analysis
Xin Wang1BCD, Lantao Wang1AEF*DOI: 10.12659/MSM.924263
Med Sci Monit 2020; 26:e924263
Table 3 Gene Set Enrichment Analysis (GSEA)-based and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis.
| Term | Size | NES | P-val | Rank at max | Leading edge |
|---|---|---|---|---|---|
| KEGG_UBIQUITIN_MEDIATED_PROTEOLYSIS | 129 | −1.3728358 | 0.08494209 | 4299 | tags=40%, list=24%, signal=52% |
| KEGG_CYSTEINE_AND_METHIONINE_METABOLISM | 34 | −1.4437566 | 0.055555556 | 5025 | tags=44%, list=29%, signal=62% |
| KEGG_GLYCOSPHINGOLIPID_BIOSYNTHESIS_LACTO_AND_NEOLACTO_SERIES | 26 | −1.3832588 | 0.12333966 | 4058 | tags=42%, list=23%, signal=55% |
| KEGG_ERBB_SIGNALING_PATHWAY | 87 | −1.1214107 | 0.3327032 | 2889 | tags=21%, list=16%, signal=25% |
| KEGG_T_CELL_RECEPTOR_SIGNALING_PATHWAY | 107 | −1.3274242 | 0.0990099 | 3201 | tags=29%, list=18%, signal=35% |
| KEGG_ECM_RECEPTOR_INTERACTION | 81 | 1.6102618 | 0.007968128 | 2431 | tags=30%, list=14%, signal=34% |
| KEGG_NEUROACTIVE_LIGAND_RECEPTOR_INTERACTION | 262 | 1.5538158 | 0.029821074 | 4505 | tags=36%, list=26%, signal=47% |
| KEGG_GLUTATHIONE_METABOLISM | 46 | 1.327777 | 0.17193677 | 3391 | tags=39%, list=19%, signal=48% |
| KEGG_CHEMOKINE_SIGNALING_PATHWAY | 180 | 1.1255552 | 0.32258064 | 2840 | tags=29%, list=16%, signal=34% |
| KEGG_CYTOKINE_CYTOKINE_RECEPTOR_INTERACTION | 243 | 1.1306927 | 0.25631067 | 4274 | tags=30%, list=24%, signal=39% |