Sentence examples for by random resampling from from inspiring English sources

Distributional data are converted to binary raster layers, and by random resampling from training and intrinsic test data and areas of 'pseudoabsence' (areas lacking known presences), two data sets are created, each of 1250 points; these data sets are used for rule generation and model testing, respectively [50], [51].

Significance of differences in dN/dS ratios was calculated by random resampling: For the null hypothesis, 1000 sets of genes with identical size as the test set were each created by randomly drawing without replacement from the complete gene set.

The random forest method generated training and validation sets by random resampling of the input vectors.

In order to evaluate a potential impact of unequal numbers of individuals with the two species' haplotypes, we calculated averages from 100 datasets, where we reduced the greater group to the same size as the smaller group by random resampling.

200 boot-strap sets were constructed by random resampling with replacement of the uncorrelated data, where the first set was the original sample.

This illustrates one potential pitfall associated with drawing conclusions from a single regression model of a large data set with many low-frequency predictors: slight permutations of the data such as those achieved by random resampling may lead to different conclusions.

To smooth out these fluctuations, 50 classifiers are constructed for each transcription factor using a random resampling from the negative set.

They are produced by a random resampling of positions with replacement to determine sampling error or the confidence interval for the groups as displayed in the hypothesized best tree [ 6].

In order to validate the logistic regression model, we applied a standard Monte Carlo bootstrap (random resampling with replacement from the original dataset) procedure based on 1000 replicates.

Therefore the time course data used for network estimation was generated from the random resampling of 25 of the possible 6561 combinations as follows: Let D be the combinatorial time course data of all genes.

The distribution of KS statistics was obtained by 100 000 iterations of the random resampling process.