Table 3 Frequency that a gene is predicted by a miR by number of algorithms
From: Differential expression of microRNAs as predictors of glioblastoma phenotypes
| Â | Number of | Â | Number of | ||||
|---|---|---|---|---|---|---|---|
| Â | Algorithms | Â | Algorithms | ||||
Gene | 3 | 2 | 1 | Gene | 3 | 2 | 1 |
CCND1 | 16 | 4 | 4 | IGF1R | 0 | 22 | 3 |
E2F3 | 12 | 11 | 1 | SOS1 | 0 | 16 | 10 |
AKT3 | 11 | 9 | 6 | PIK3R1 | 0 | 16 | 2 |
PDGFRA | 11 | 4 | 1 | IGF1 | 0 | 15 | 14 |
PDGFB | 11 | 0 | 1 | E2F2 | 0 | 11 | 8 |
RB1 | 10 | 2 | 3 | PTEN | 0 | 10 | 14 |
KRAS | 9 | 3 | 0 | PTENP1 | 0 | 10 | 14 |
PDGFRB | 7 | 3 | 0 | MAPK1 | 0 | 8 | 5 |
CDK6 | 6 | 8 | 5 | TP53 | 0 | 8 | 2 |
CALM1 | 6 | 1 | 12 | PIK3CD | 0 | 5 | 2 |
CDKN1A | 5 | 8 | 3 | TGFA | 0 | 3 | 1 |
PIK3R3 | 5 | 6 | 6 | SHC4 | 0 | 3 | 0 |
CALM2 | 5 | 4 | 3 | PDGFA | 0 | 2 | 4 |
CAMK2D | 5 | 4 | 2 | PIK3CA | 0 | 1 | 3 |
RAF1 | 5 | 3 | 0 | SHC2 | 0 | 1 | 0 |
CALM3 | 5 | 2 | 2 | AKT2 | 0 | 0 | 9 |
CAMK2G | 5 | 1 | 5 | CAMK2B | 0 | 0 | 4 |
E2F1 | 4 | 1 | 0 | PRKCB1 | 0 | 0 | 4 |
CSDE1 | 3 | 4 | 14 | MAPK3 | 0 | 0 | 3 |
MAP2K1 | 3 | 4 | 1 | EGF | 0 | 0 | 2 |
PLCG1 | 3 | 3 | 1 | EGFR | 0 | 0 | 2 |
PIK3R2 | 3 | 2 | 3 | PRKCG | 0 | 0 | 2 |
FRAP1 | 3 | 0 | 1 | BRAF | 0 | 0 | 1 |
GRB2 | 2 | 0 | 1 | CDK4 | 0 | 0 | 1 |
PRKCA | 1 | 1 | 3 | CDKN2A | 0 | 0 | 1 |
SHC1 | 1 | 0 | 1 | MAPK | 0 | 0 | 1 |
| Â | Â | Â | Â | SOS2 | 0 | 0 | 1 |