Table 4 The robustness of target identification across samples of different GC-contents
From: On an enhancement of RNA probing data using information theory
GC-content | \(n=100\) | \(n=200\) | \(n=300\) | |
|---|---|---|---|---|
\({\mathbb {P}}(s\in \Omega ^*)\) | GC-rich | \(0.778 \pm 0.172\) | \(0.732 \pm 0.196\) | \(0.735 \pm 0.195\) |
Uniform | \(0.768 \pm 0.178\) | \(0.742 \pm 0.192\) | \(0.751 \pm 0.187\) | |
AU-rich | \(0.773 \pm 0.176\) | \(0.735 \pm 0.195\) | \(0.749 \pm 0.188\) | |
\({\mathbb {P}}(s^*=s)\) | GC-rich | \(0.720 \pm 0.202\) | \(0.655 \pm 0.226 \) | \(0.674 \pm 0.220\) |
Uniform | \(0.669 \pm 0.222\) | \(0.646\pm 0.229\) | \(0.706 \pm 0.208\) | |
AU-rich | \(0.677 \pm 0.219 \) | \( 0.655 \pm 0.226 \) | \( 0.701 \pm 0.210 \) | |
\({\mathbb {P}}(s^*=s\mid s\in \Omega ^*)\) | GC-rich | \(0.925 \pm 0.259\) | \(0.895\pm 0.309\) | \(0.917 \pm 0.299 \) |
Uniform | \(0.871\pm 0.288\) | \(0.871 \pm 0.309\) | \(0.940\pm 0.277\) | |
AU-rich | \(0.876\pm 0.283\) | \(0.891 \pm 0.308\) | \(0.936 \pm 0.280\) |