From: Identification of gene pairs through penalized regression subject to constraints
Setting | (p,n,σ) | Method | MSE | R 2 | RE | FR |
---|---|---|---|---|---|---|
1 | (20, 50, 0.5) | Lasso 1 | 0.29 | 0.89 | 0.77 | 0.33 |
 |  |  | (0.01) | (0.00) | (0.01) | (0.00) |
 |  | Lasso 2 | 0.31 | 0.88 | 0.14 | 0.00 |
 |  |  | (0.01) | (0.00) | (0.01) | (0.00) |
 |  | Proposed | 0.29 | 0.89 | 0.13 | 0.00 |
 |  |  | (0.01) | (0.00) | (0.01) | (0.00) |
1 | (100, 25, 0.2) | Lasso 1 | 0.19 | 0.92 | 0.80 | 0.37 |
 |  |  | (0.07) | (0.03) | (0.02) | (0.02) |
 |  | Lasso 2 | 0.24 | 0.89 | 0.22 | 0.06 |
 |  |  | (0.08) | (0.03) | (0.03) | (0.03) |
 |  | Proposed | 0.19 | 0.92 | 0.21 | 0.04 |
 |  |  | (0.07) | (0.03) | (0.03) | (0.03) |
2 | (20, 50, 0.5) | Lasso 1 | 0.32 | 0.89 | 0.44 | 0.20 |
 |  |  | (0.01) | (0.00) | (0.02) | (0.04) |
 |  | Lasso 2 | 0.36 | 0.88 | 0.14 | 0.00 |
 |  |  | (0.02) | (0.01) | (0.01) | (0.00) |
 |  | Proposed | 0.32 | 0.89 | 0.14 | 0.01 |
 |  |  | (0.01) | (0.00) | (0.01) | (0.01) |
2 | (100, 25, 0.2) | Lasso 1 | 0.42 | 0.84 | 0.52 | 0.37 |
 |  |  | (0.07) | (0.02) | (0.03) | (0.06) |
 |  | Lasso 2 | 0.63 | 0.76 | 0.32 | 0.22 |
 |  |  | (0.09) | (0.03) | (0.03) | (0.05) |
 |  | Proposed | 0.41 | 0.85 | 0.31 | 0.24 |
 |  |  | (0.07) | (0.02) | (0.03) | (0.05) |
3 | (20, 50, 0.5) | Lasso 1 | 0.30 | 0.93 | 0.18 | 0.00 |
 |  |  | (0.01) | (0.00) | (0.02) | (0.00) |
 |  | Lasso 2 | 0.33 | 0.92 | 0.11 | 0.00 |
 |  |  | (0.01) | (0.00) | (0.01) | (0.00) |
 |  | Proposed | 0.30 | 0.93 | 0.11 | 0.00 |
 |  |  | (0.01) | (0.00) | (0.01) | (0.00) |
3 | (100, 25, 0.2) | Lasso 1 | 0.15 | 0.96 | 0.25 | 0.00 |
 |  |  | (0.02) | (0.01) | (0.03) | (0.00) |
 |  | Lasso 2 | 0.26 | 0.93 | 0.16 | 0.01 |
 |  |  | (0.08) | (0.02) | (0.02) | (0.01) |
 |  | Proposed | 0.15 | 0.96 | 0.15 | 0.00 |
 |  |  | (0.02) | (0.01) | (0.01) | (0.00) |