Table 1 List of 27 papers whose datasets were used for network construction by iDMET
From: iDMET: network-based approach for integrating differential analysis of cancer metabolomics
PMID | Journal | Metabolite detection method | Total number of metabolites incorporated into iDMET (valid metabolite rate) | Ref | |
|---|---|---|---|---|---|
1 | 20861191 | Cancer Res | NMR | 15 (78.9%) | [21] |
2 | 21853158 | PLoS One | GC–MS, LC–MS/MS | 213 (85.2%) | [22] |
3 | 21912692 | PLoS One | LC–MS | 51 (53.15%) | [23] |
4 | 22380946 | Cancer Sci | GC–MS | 69 ~ 131 (92%–100%) | [24] |
5 | 22421146 | Cell Cycle | GC–MS, LC–MS/MS | 245 (84.2%) | [25] |
6 | 22628425 | Cancer Res | GC–MS, LC–MS/MS | 205 ~ 243 (83.3%–91.0%) | [26] |
7 | 24153255 | BMC Syst Biol | GC–MS | 40 ~ 42 (95.0%–100%) | [27] |
8 | 24952473 | Oncotarget | LC–MS/MS | 46 (74.2%) | [28] |
9 | 25880539 | J Ovarian Res | GC–MS, LC–MS/MS | 149 (83.2%) | [29] |
10 | 26023239 | J Biol Chem | CE-TOFMS | 112 (96.6%) | [30] |
11 | 26311851 | J Biol Chem | GC–MS, LC–MS/MS | 287 (83.9%) | [31] |
12 | 26318292 | Oncotarget | CE-TOFMS | 63 (87.5%) | [32] |
13 | 26415588 | Mol Cell Endocrinol | GC–MS | 70 (86.4%) | [33] |
14 | 26508589 | Sci Rep | GC–MS | 30 ~ 31 (88.2%–93.9%) | [34] |
15 | 26623558 | Oncotarget | GC–MS, LC–MS/MS | 117 (87.3%) | [35] |
16 | 26637368 | Mol Cancer Ther | LC–MS | 193 (85.4%) | [36] |
17 | 26766592 | Cancer Cell | GC–MS, LC–MS/MS | 491 (85.1%) | [37] |
18 | 26886430 | PLoS One | GC–MS, LC–MS | 79 (94.0%) | [38] |
19 | 26980435 | J Exp Clin Cancer Res | CE-TOFMS | 55–60 (67.9%–69.7%) | [39] |
20 | 27533043 | Mol Carcinog | 1H-NMR | 9 (24.3%) | [40] |
21 | 29084919 | Clin Cancer Res | CE-TOFMS | 70 (73.7%) | [41] |
22 | 30026261 | Biosci Rep | 1H-NMR | 143 (40.5%) | [42] |
23 | 30482722 | EBioMedicine | 1H-NMR | 51 (85.4%) | [43] |
24 | 30538212 | Aging (Albany, NY) | GC–MS, LC–MS/MS | 227 (61.9%) | [44] |
25 | 30830323 | Metabolomics | GC–MS | 52 (51.0%) | [45] |
26 | 30903027 | Nat Commun | LC–MS | 30 (71.4%) | [46] |
27 | 31068703 | Nat Med | LC–MS | 89 (39.5%) | [47] |