Sentence examples for using a statistical framework from inspiring English sources

This research developed ductility capacity models for BRBs using a statistical framework and the results of past experimental studies.

The accuracy of the proposed approach is assessed using a statistical framework to perform an error analysis and numerical simulations with a state-of-the-art computational code that solves the Richards' equation.

We investigated the demographic history of HIV-1 subtype A and B in Albania by using a statistical framework based on coalescent theory and phylogeography.

To this end, we explored an extensive range of historical and demographic parameters characterizing recent human evolution using a statistical framework that combines multiple facets of the genetic data.

The annotation in Blast2GO is based on similarity searches using a statistical framework.

Single nucleotide polymorphisms (SNPs) are typically deduced from NGS data using a statistical framework which examines the genome site by site [ 5].

In addition, we used a statistical framework that allowed us to formally test the accuracy of the parameter estimation and, most importantly, the sensitivity of these estimations to (i) the prior distribution of the estimated parameters, and (ii) the choice of the model of modern human dispersals out of Africa.

It uses a statistical framework that will allow it to handle error correlations between aliquots in the future.

Although the authors did not use a statistical framework to examine this work, their results suggested an example for a gene-based haplotype with a number of rare causal and non-causal variants.

Pathoscope uses a statistical framework to analyze raw next-generation sequence (NGS) reads from metagenomic samples and performs species and strain level identification based on hits to a curated signature database of known biological agents.

To identify common insertion sites (CISs), i.e., regions in the genome that are significantly more frequently mutated by insertions than would be expected by chance, we used a statistical framework based on Gaussian kernel convolution (GKC), which estimates a smoothed density distribution of inserts over the entire genome (de Ridder et al., 2006).