Table 3.
Frequency that a gene is predicted by a miR by number of algorithms
| |
Number of |
|
Number of |
||||
|---|---|---|---|---|---|---|---|
| Algorithms | 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 |
| SOS2 | 0 | 0 | 1 | ||||