| | | |
train2431
|
---|
| | | |
test2431 10 × cross validation
|
Feature mapping method
|
FN2431
|
R
|
MSE
|
R
|
MSE
|
1-Position specific base
|
84
|
0.784
|
0.016
|
0.711
|
0.026
|
2-Thermodynamics
|
23
|
0.915
|
0.007
|
0.640
|
0.029
|
3-Entropy
|
23
|
0.730
|
0.021
|
0.094
|
0.046
|
4-Guide strand structure
|
24
|
0.430
|
0.033
|
0.293
|
0.041
|
5-Guide strand features
|
32
|
0.266
|
0.037
|
0.243
|
0.042
|
6-N-Grams N = 2
|
16
|
0.408
|
0.033
|
0.291
|
0.041
|
7-N-Grams N = 3
|
64
|
0.656
|
0.024
|
0.435
|
0.037
|
8-N-Grams N = 4
|
256
|
0.590
|
0.027
|
0.532
|
0.034
|
9-N-Grams N = 5
|
1024*
|
0.590
|
0.029
|
0.487
|
0.036
|
10-N-Grams N = 6
|
4096*
|
0.621
|
0.036
|
0.439
|
0.036
|
11-N-Grams N = 2–5
|
1360*
|
0.614
|
0.026
|
0.559
|
0.033
|
12-Target strand structure-nondirectional
|
22
|
0.646
|
0.024
|
0.257
|
0.045
|
13-Target strand structure-directional
|
43
|
0.607
|
0.025
|
0.277
|
0.042
|
14-Target imprecise thermo
|
22
|
0.932
|
0.007
|
0.272
|
0.045
|
- FNdataset = Feature Number count from dataset, R = Pearson correlation coefficient, MSE = mean squared error * Theoretical, but five 5-grams and several 6-grams are absent in the present dataset, reducing the effective feature set size.