| \(\alpha _{opt}\) | \(q_{\text {max}}\) | \(\rho\) | pval | \(FDR<0.05\) |
---|
\(n=12\) | 10 | 3 | 0.89 | \(<10^{-309}\) | \(92.5\%\) |
\(n=10\) | 10 | 3 | 0.89 | \(<10^{-309}\) | \(94.4\%\) |
\(n=8\) | 10 | 4 | 0.89 | \(<10^{-309}\) | \(94.2\%\) |
\(n=6\) | 10 | 2 | 0.86 | \(1.3\cdot 10^{-277}\) | \(95.2\%\) |
- Number of gene expression profiles (\(m = 1000\)) and noise amplitude (\(C=0.2\)) are kept fixed. Legend—\(\alpha _{opt}\): optimal value of the regularization parameter; \(q_{\text {max}}\): error threshold expressed as percentile of the MSE distribution; \(\rho\): Pearson correlation coefficient; pval: p value; FDR: false discovery rate. For each instance of the noise distribution considered, we found a negligible variability of the quality indices, therefore variance is not reported in the table