Sentence examples for for predicting classes from inspiring English sources

The NB learning model relies on Bayes probability theory, in which attributes are used to build a statistical estimator for predicting classes.

Here, we took advantage of motif-based prediction and designed four linear patterns for predicting class-III behavior in sets of experimentally determined CK2 substrates.

We present a structure-based method for predicting class II epitopes that combines molecular mechanics docking of a fully flexible peptide into the MHC binding cleft followed by binding affinity prediction using a machine learning classifier trained on interaction energy components calculated from the docking solution.

For the first time, in silico models have been developed for predicting class-specific BCEs.

We conclude our work in Section 7. Classification aims to build an efficient and effective model for predicting class labels of unknown data.

The control and treatment samples were minimally separated, and the associated mean classification error rates of the model for predicting class membership were high at 43 and 47%, respectively, suggesting no metabolic differences between groups.

The algorithm of Random forest learn the best fingerprints itself and the model developed using 881 fingerprints perform better.>> In addition, we made an attempt to develop models for predicting class-specific inhibitors.

Based on these results, we found the 11-gene based Naïve Bayes or logistic regression based classifiers to perform better compared to the 183-gene classifiers for predicting class membership.

We have built a number of models for predicting class I and class II HLA genes at a four-digit resolution and have examined critical parameters associated with these models (e.g., the sufficient flanking region, platform accuracy, and the effect of imputation).

The estimate is based on the fact that proteins can be predicted more reliably if the corresponding feature vector is very typical for the predicted classes and less typical for any other class.

To increase the robustness of our results we performed 50 iterations of the above procedure and combined the predicted classes for each gene to create a new aggregate predicted class for that gene.