We have compared our approach with two other alignment methods that work with given RNA structures, namely RNAforester and RNA_align.
Results: We have compared ExpaRNA with two other alignment methods that work with given RNA structures, namely RNAforester and RNA_align.
The analysis of the three bootstrap methods under the alternative refers to comparing the observed differences between the three methods with the given sample sizes.
Runge-Kutta methods with a given stability polynomial R z) are not unique.
It applies the detection methods with the given parameters to the case data for the selected diseases, and emails notifications if any alerts are generated.
Regardless of which model was selected, each topology generated by using maximum parsimony and neighbor-joining methods with a given RNA segment was significantly more likely than the competing topology generated by the other genome segment (p<0.001).
Overall, we found broadly similar performance between the different penalization methods, with NEG giving the overall best and the ATT the overall worst performance.
The weighted method adjusts the test statistic with given weights rather than the critical value.
Recently, we developed a new mathematical method to construct the BLF with given marginals and a prescribed correlation coefficient.
Twelve sensitive features are selected from the entire feature set using the DET method with a given threshold, Thr = mean(α j ), and eight sensitive features are selected using the IHFST method with a given threshold, Thr = mean(β j ), where j = 1, 2,…, 32 denotes the feature index.
