Sentence examples for most popular rules from inspiring English sources
It uses the geometrical approach to derive the two most popular rules, namely the trapezoidal and Simpson's rules.
In glycosylation site prediction, the rules produced were also interpretable and the most popular rules generated appeared to correlate well with recently reported hydrophilic/hydrophobic enhancement values of amino acids around possible O-glycosylation sites.
It should be noted that the most popular rules for both S and T correspond respectively to the hydrophobic and hydrophilic enhancement values for the ppGalNAc T5 transferase, a key enzyme in O-glycosylation.
Although the results mentioned in [ 54] already seem to confirm the veracity of the most popular rules, there are still several others with enough prominence to warrant a more meticulous examination in wet-lab experiments.
The number of positive sites that follow the most popular rules shown in Tables 13 and 14 are 32 positive O-glycosylated S sites and 495 positive O-glycosylated T sites, respectively.
The interpretation of the rules that produced the performances is shown in Table 10 in the section of Additional files 1 and 2. Since not all the variables are necessary in all the rules, it is possible to provide the interpretation of the most popular rules for the S and T overall datasets in Tables 13 and 14, respectively.
But the most popular rule among parents, administrators say, is also the most controversial among students: the "courtship policy".
So, here are seven of the most popular parenting rules that I refuse to follow.
Although trial and error is usually the best means for finding the best length, the most popular MA rule as reported in Brock et al. ([1992]) is the 1 to 200 rule, where the short period is 1 day and the long period is 200 days.
The most popular unsupervised learning rule for the hidden layer is the so-called k-means.
Among them, probably the most popular ones are: rule-based systems [ 9- 11], decision trees [ 12], random forests [ 13, 14], neural networks [ 15, 16], Bayesian methods [ 17] and SVMs [ 18- 21].
