Sentence examples for model set using from inspiring English sources

For the high-density dataset, ĉ was calculated for each model set using the observed and simulated deviance and deviance degrees of freedom.

These samples are always assigned to the model set using the Kennard and Stone method and then the test samples are correctly predicted.

Table 4 shows the performance of the best predictive model set using the combination of three features (Gene + gMutation + Chromosome) over each tumor site.

To accomplish this task, we forged provisional annotations of these genomes by BLAT-aligning the complete Zebra finch Ensembl model set using a standalone server-based BLAT implementation with parameters replicating the web-based UCSC browser.

Here we report the construction of a COPD-enhanced network model set using a novel methodology that combined traditional manual literature curation and data-driven approaches with a global crowdsourcing endeavor to generate the most comprehensive representation of biological phenomenon proximal to the onset of COPD that is available to date.

We recognize the following limitations of our study: The simulation model contained only one random effect to describe interindividual variability, and therefore the number of random effect (co variances was fixed to one in the model set used for fitting.

The model setting used by Noda et al. (2013a) (modified from Figure 2 therein).

Then each set was randomly selected again and divided into two parts equally: a model set used to train the model and a test set used to evaluate the models.

This set was then divided in two parts: a model set used to train the model and containing 60% of the presence and absence points, and a test set containing 40% of the points and used to quantify the goodness of fit.

The parameters in the simulation model are set using the survey data from the 10 reference villages.

To perform model selection, each of the aforementioned decision tree-based regression methods was applied to the model selection set, using 10-fold cross-validation.