|
Patient 1 |
Patient 2 |
Patient 3 |
… |
Patient (n)=598 |
Gene 1 |
Expres.Value (1 1) |
Expres.Value (1 2) |
Expres.Value (1 3) |
… |
Expres.Value (1 n) |
Gene 2 |
Expres.Value (2 1) |
Expres.Value (2 2) |
Expres.Value (2 3) |
… |
Expres.Value (2 n) |
Gene 3 |
Expres.Value (3 1) |
Expres.Value (3 2) |
Expres.Value (3 3) |
… |
Expres.Value (3 n) |
… |
… |
… |
… |
… |
… |
Gene(m) |
Expres.Value (m 1) |
Expres.Value (m 2) |
Expres.Value (m 3) |
|
Expres.Value (m n) |
EXAMPLE |
|
|
|
|
|
ELMO2 |
Patient 1 |
Patient 2 |
Patient 3 |
... |
Patient (n)=598 |
CREB3L1 |
1.55 |
2.89 |
3.46 |
... |
3.95 |
RPS11 |
1.06 |
3.17 |
0.61 |
... |
5.39 |
PNMA1 |
5.04 |
4.51 |
5.77 |
... |
3.89 |
|
… |
… |
… |
… |
… |
Gene 17814 |
3.08 |
3.47 |
3.06 |
|
2.60 |
|
EGEF algorithm works based on preparing tables. According to the genes n number patients expression value are writtenand prepared for the statistical analyzes. 17814 invasive breast cancer genes expression value from 598 patients are tabled in that order. |
Table 1: Preparıng a table and example of that. |