Table 1 Simulation results: estimation
From: Super-sparse principal component analyses for high-throughput genomic data
| Â | Â | Â | Â | Â | Â | SPCA | Â |
|---|---|---|---|---|---|---|---|
n | p |
|
| PCA | HL | LASSO | EN |
80 | 20 | 2.0 | 0.1 | 0.054 (0.010) | 0.023 (0.011) | 0.022 (0.010) | 0.025 (0.013) |
| Â | Â | 0.5 | 0.1 | 0.109 (0.021) | 0.045 (0.021) | 0.051 (0.022) | 0.055 (0.029) |
50 | 200 | 2.0 | 0.1 | 0.223 (0.022) | 0.029 (0.014) | 0.035 (0.015) | 0.056 (0.028) |
| Â | Â | 0.5 | 0.1 | 0.424 (0.041) | 0.062 (0.032) | 0.080 (0.033) | 0.122 (0.058) |
| Â | Â | Â | Â | PCA* | HL | SSPCA LASSO | EN |
80 | 20 | 2.0 | 0.1 | 0.055 (0.010) | 0.020 (0.009) | 0.021 (0.010) | 0.022 (0.010) |
| Â | Â | 0.5 | 0.1 | 0.113 (0.020) | 0.042 (0.020) | 0.050 (0.023) | 0.050 (0.026) |
50 | 200 | 2.0 | 0.1 | 0.218 (0.025) | 0.026 (0.013) | 0.032 (0.014) | 0.055 (0.030) |
| Â | Â | 0.5 | 0.1 | 0.993 (0.010) | 0.063 (0.030) | 0.083 (0.044) | 0.866 (0.000) |
- The median of dist(v1,
) and the median absolute deviation in parentheses. - PCA*: PCA using X*
) and the median absolute deviation in parentheses.