| \(\alpha _{opt}\) | \(q_{\text {max}}\) | \(\rho\) | pval | \(FDR<0.05\) |
---|
\(C=0.1\) | 10 | 1 | 0.90 | \(<10^{-309}\) | \(99.6\%\) |
\(C=0.2\) | 10 | 2 | 0.86 | \(1.3\cdot 10^{-277}\) | \(95.2\%\) |
\(C=0.3\) | 10 | 2 | 0.86 | \(2.3\cdot 10^{-269}\) | \(91.1\%\) |
\(C=0.4\) | 10 | 4 | 0.68 | \(8.9\cdot 10^{-123}\) | \(90.8\%\) |
\(C=0.5\) | 10 | 10 | 0.11 | \(3.9\cdot 10^{-4}\) | \(90.8\%\) |
- Numbers of gene expression profiles (\(m = 1000\)) and of time samples (\(n=6\)) 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