Table 1.
Feature set | Feature coefficients in regression (mean±SD) | Spearman’s correlation r | P value | MSE |
---|---|---|---|---|
aTIS | 1.833±0.034 | 0.234 | 1.077e−72 | 3.081 |
aTIS+uTIS | 1.774±0.040, –0.126±0.005 | 0.245 | 3.801e−79 | 3.063 |
aTIS+AUG | 1.709±0.038, –0.029±0.005 | 0.234 | 2.712e−72 | 3.078 |
aTIS+uTIS+lofUTR | 1.744±0.037, –0.122±0.005, –0.0001±3.634e–5 | 0.236 | 2.228e−73 | 3.063 |
‘MSE’ denotes the mean square error. ‘aTIS’ represents the predicted TISScore for the aTIS, ‘uTIS’ represents the sum of TISScore values of all the eligible uTISs, ‘AUG’ represents the number of AUGs in the upstream region of the aTIS, and ‘lofUTR’ represents the length of the 5’ UTR. The mean and the standard deviation (SD) of the feature coefficients in the regression model in a 10-fold cross-validation procedure were calculated.