Sentence examples for by randomly resampling from from inspiring English sources

A bootstrap 95% CI was calculated by randomly resampling from the observed responses to capture the uncertainty in the time spent, number of researchers and proportion of resubmissions.

Significance for the prediction is compued as a nominal p-value estimated based on a null distribution for the distance d to the templates generated by randomly resampling nA+nB genes from the N genes 1,000 times (default).

For the single test sample, significance of the proximity to template is estimated as a nominal p-value based on a null distribution for the distance d generated by randomly resampling nA+nB genes from the N genes multiple times (default is 1,000 times).

The first step of IsoDE is to generate M bootstrap samples by randomly resampling with replacement from the reads represented in A. When a read is selected during resampling, all its alignments from A are included in the bootstrap sample.

R synthetic sequences are produced by randomly resampling, with replacement, from the original sequence fragment, and the number of times N G a peak greater than or equal to is measured at period is recorded.

This program generated null distributions of the appropriate size (e.g., matching the size of each sample examined here and thus correcting for sample size) by randomly resampling haplotypes (with replacement) from a source population followed by counting haplotypes and calculating haplotype diversity for each replicate.

It applies resampling to the whole LASSO coefficient path and calculates the probability for each variable to be selected when randomly resampling from the data.

A total of 10 million iterations were performed to generate the expected distribution by randomly resampling 50 individual SNP assays from across the genome.

Briefly, bootstrap regression analysis was performed by randomly resampling datasets with replacement 3000 times and fitting each resampled dataset to the FRET response generated by Monte-Carlo simulatiof of a donor placed at increasing distances above a plane of acceptors.

For all OTU-based analyses, sequence number was normalized prior to statistical analysis by randomly resampling reads of each sample to the same size, based on the sample with the smallest sampling size.

Two thousand bootstrap replicates were generated by randomly resampling the original data set with replacement.