From: Identifying driver pathways based on a parameter-free model and a partheno-genetic algorithm
K | MWSM | \(r_{pe}(\%)\) |
---|---|---|
2 | MYC CCNE1 | 100.0 |
3 | MYC CCNE1 NINJ2 | 66.7 |
4 | MYC CCNE1 NINJ2 ABCC10 | 50.0 |
5 | MYC CCNE1 COL5A3 NINJ2 ABCC10 | 40.0 |
6 | MYC CCNE1 COL5A3 NINJ2 MYH4 ABCC10 | 33.3 |
7 | MYC CCNE1 COL5A3 NINJ2 MYH4 ABCC10 TRAPPC8 | 28.6 |
8 | MYC CCNE1 COL5A3 NINJ2 MYH4 ABCC10 TRAPPC8 PRPC7 | 25.0 |
K | SMCM | \(r_{pe}(\%)\) |
---|---|---|
2 | MYC CCNE1 | 100.0 |
3 | MYC CCNE1 KRAS | 100.0 |
4 | MYC CCNE1 NINJ2 MACF1 | 50.0 |
5 | MYC CCNE1 NINJ2 MACF1 NF1 | 40.0 |
6 | MYC CCNE1 NINJ2 MACF1 NF1 ARFRP1 | 33.3 |
7 | MYC CCNE1 NINJ2 MACF1 NF1 MBD3 ZNF512B | 28.6 |
8 | MYC CCNE1 PPP2R2A NINJ2 MACF1 NOTCH3 TPD52L2 RYR2 | 37.5 |
K | SMCMN | \(r_{pe}(\%)\) |
---|---|---|
2 | MYC CCNE1 | 100.0 |
3 | MYC KRAS CCNE1 | 100.0 |
4 | MYC KRAS CCNE1 FBXW7 | 75.0 |
5 | MYC KRAS CDH1 CTNNB1 CCNE1 | 80.0 |
6 | MYC KRAS CDH1 CTNNB1 CCNE1 NOTCH3 | 66.7 |
7 | MYC KRAS CDH1 CTNNB1 CCNE1 NOTCH3 FZD2 | 57.1 |
8 | MYC KRAS CCNE1 PTEN NRAS NF1 BRAF NOTCH3 | 62.5 |