From: Demonstration of two novel methods for predicting functional siRNA efficiency
Pearson | All(249) | All human(198) | hE2(139) | Rodent(51) |
---|---|---|---|---|
All(2182) | 0.9771 | 0.9769 | 0.9743 | 0.9713 |
All human(1744) | 0.9721 | 0.9722 | 0.9689 | 0.9639 |
Human E2s(1229) | 0.9653 | 0.9644 | 0.9606 | 0.9593 |
Rodent(438) | 0.9057 | 0.9077 | 0.895 | 0.8806 |
Random all (1091) | 0.9660 | 0.9673 | 0.9651 | 0.9510 |
Random all (727) | 0.9343 | 0.9369 | 0.9387 | 0.9125 |
Random all (545) | 0.9249 | 0.9252 | 0.9206 | 0.9154 |
Random all (218) | 0.8502 | 0.8645 | 0.8570 | 0.7713 |
All-19 | 0.9436 | Â | Â | Â |
All human-19 | 0.9387 | Â | Â | Â |
Rodent-19 | 0.8487 | Â | Â | Â |
SeqSta, cut-off 0.6 | Â | Â | Â | Â |
Pearson | All(249) | All human(198) | hE2(139) | Rodent(51) |
All(2182) | 0.8562 | 0.8557 | 0.8452 | 0.8520 |
All human(1744) | 0.8104 | 0.8106 | 0.8007 | 0.8008 |
Human E2s(1229) | 0.7294 | 0.7294 | 0.7353 | 0.7257 |
Rodent(438) | 0.7761 | 0.7688 | 0.7608 | 0.7912 |
Random all(1091) | 0.8632 | 0.8619 | 0.8472 | 0.8644 |
Random all(727) | 0.7953 | 0.8023 | 0.7830 | 0.7523 |
Random all(545) | 0.7812 | 0.7785 | 0.7679 | 0.7748 |
Random all(218) | 0.7017 | 0.6941 | 0.6681 | 0.7292 |
All-19 | 0.8224 | Â | Â | Â |
All human-19 | 0.7809 | Â | Â | Â |
Rodent-19 | 0.7097 | Â | Â | Â |