Sentence examples for best statistical methods from inspiring English sources

The most accurate β-turn predictors today utilize machine-learning methods, although the first approaches did not reach the performance obtained by the best statistical methods.

The accuracy of the presented all-physical model rivals the best statistical methods in secondary structure and secondary core structure prediction.

Therefore, as it is concluded in [ 13], those methods which are based on the same physical properties that determine translocon-mediated membrane insertion, by using properly scaled hydrophobicity values, may access the same level of prediction accuracy as the best statistical methods.

We believe that the positive effect of using deregressed EBV applies to most situations, whereas choosing the best statistical method is more sensitive to the particular situation.

In addition to the lack of consensus on the best statistical method, another issue associated with RNAseq data analysis is the lack of complete quality control.

Though classifier accuracy and precision are not the best statistical evaluation methods for imbalanced datasets, the results of these may be found in the supplementary Excel results file.

This research uses the best available statistical methods, expenditure data, and health aid data.

CH provided statistical consultation and chose the best statistical modeling method for outbreak detection in the initiation stage of establishing the ED-SSS.

In this article, we review the current practice of statistical analysis of longitudinal data in these fields, and recommend the "best performing" statistical method among those available in most statistical packages.

We believe this information will help investigators select the best epidemiological and statistical methods for studying chemical mixtures in human populations and consider the limitations of these methods in their studies.

GExposer has performed the best or among the best when compared with other statistical methods and tested on multiple data sets beyond the one the model was constructed on.