Research Article
[Retracted] Heterogeneous Network-Based Inductive Matrix Methods for Predicting Biomedical Gene Disease
Table 5
Prediction of top 10 candidates.
| | Leukemia MIM : 601626 | Alzheimer’s disease MIM : 104300 | Insulin resistance MIM : 125853 | Prostate cancer MIM : 176807 |
| | TP53 (7157) [11] | PSEN1 (5563) [4] | SHH (6469) | SHH (6469) [1] | | PAX6 (5080) | PSEN2 (5564) [4] | FGFR2 (2263) | BMP2 (650) [18] | | PITX2 (5308) | LFNG (3955) | STAR (6770) | IHH (3549) | | PTEN (5728) [15] | MESP2 (145873) | DLK1 (8788) | DHH (50846) | | RUNX2 (860) | DLL3 (10683) | FGF10 (2255) | SOX2 (6657) | | FGFR3 (2261) | TCF15 (6939) | CYP11A1 (1583) | LMNA (4000) | | FOXE3 (2301) | CIT (11113) | CYP11B1 (1584) | AKT1 (207) [16] | | SPI1 (6688) | NKX3-2 (579) | CYP17A1 (1586) | SIX1 (6495) | | TGFB2 (7042) | CHUK (1147) | LBX1 (10660) | IGF1R (3480) | | CREBBP(1387) | ROR2 (4920) | HSD3B2 (3284) | STAT3 (6774) [7] | | Schizophrenia | Breast cancer | Gastric cancer | Colorectal cancer | | MIM : 181500 | MIM : 114480 | MIM : 137215 | MIM : 114500 | | PSEN1 (5663) | TP53 (7157) | TP53 (7157) | TP53 (7157) | | WNT4 (54361) | APC (324) | APC (324) | APC (324) | | FGFR3 (2261) | CTNNB1 (1499) | AXIN1 (8312) | CTNNB1 (1499) | | PITX2 (5038) | AXIN1 (8312) | KIT (3815) | AXIN1 (8312) | | PAX3(5077) | FGFR3(2261) | KRAS (3845) [3] | BMPR1A (657) | | MSX2(4488) | MSH2(4436) | MSH2 (4436) | FGFR3 (2261) | | PAX2(5076) | CDKN2A(1029) | CTNNB1 (1499) [13] | BMPR1B (658) | | PTEN(5728) | BRCA1(672) [2] | MSH6 (2956) | PTEN (5728) | | TBX3(6929) | RAD51(5888) [2] | RAD51 (5888) | MSH2 (4436) | | IHH(3549) | KRAS(3845) | BRCA1 (672) | SMAD4 (4089) |
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