Sentence examples for improve the predictor from inspiring English sources

Since biochemical and physicochemical features [35] are important for characterizing proteins, in this study they are used to represent proteins as done by many previous investigators (see, e.g., [36], [37], [38]. To improve the predictor's performance, minimum Redundancy Maximum Relevance (mRMR) algorithm [39] is used to rank the features.

This assay could improve the predictor value of these previously described prediction scores and rules.

We improve the predictor by allowing for variable threshold selection rather than a fixed default, and provide an easy transition from output data into graphical form.

MAKER was run iteratively to train the SNAP (Korf 2004) gene predictor in a bootstrap fashion to improve the predictor's performance, and final MAKER predictions were made using the trained SNAP as well as Augustus trained with the zebrafish species model.

To determine whether the inclusion of independent meteorological predictors could improve the prediction, all possible combinations of the four previously identified potential predictors were fitted with an AR(2) model using transfer functions (a total of 24 models) and evaluated.

The result shows that using all markers as a predictor can improve the prediction accuracy only for training group but not for the testing group.

It should be regarded as a powerful tool to improve the prediction performance of bioinformatics predictors.

Therefore, to improve the accuracy of the Predictor component, the risk minimization principle should be determined based on the complexity of the prediction techniques (i.e., the VC-dimension) and the training dataset size.

Here we want to investigate whether using both the known and predicted PPIs will improve the performance of the predictor using only the known PPIs or not.

Alternative approaches, including incorporation of error estimates or derivatives as covariates, did not improve the performance of the predictor.

Our approach is more advanced than a simple summation of the population of methylated sites, and adding data from a larger patient population will improve the performance of the predictor.