Sentence examples for sizes we utilized from inspiring English sources

Therefore, to estimate effective population sizes we utilized an average of previously reported mutation rates for other bacterial species (~0.003 per genome [ 22]).

Because we were contending with small sample sizes, we utilized an approach to garner "strength across numbers".

To evaluate the impact of probe introduction into the 12%T sieving gel after sizing, we utilize a fluorescently labeled polyclonal antibody against prostate specific antigen (PSA) (see Figure 3A).

To estimate the variance more efficiently with a small sample size, we utilized an empirical Bayesian correction of the linear model [ 10].

To estimate effective population size we utilized the formula: Ne = θ/2 μ, where Ne is the effective population size, θ is a measure of per locus diversity and μ is the per locus mutation rate [ 20, 21].

As we could not perform analyses using score-matched pairs, because of the small sample size, we utilized the IPTW method to show that chemotherapy could significantly improve OS in patients with advanced SBA.

Given the mean library size, we utilized DESeq [ 51] to test for DE because it is one of the more conservative methods for detecting DE [ 68] and is consistent with other approaches such as edgeR [ 35, 69].

To consider the impact of fluctuating population size on the rate of adaptation and to infer how different approaches to detect selection are sensitive to such fluctuations (and thus show a different dependency on the long-term vs. current population size), we utilize a forward simulation approach, and condition on the demographic parameters estimated with dadi (see Results).

Due to the unbalanced group sizes, in each iteration, we utilized the bootstrap resampling technique to generate 100 positive samples and 100 negative samples as the training data.

For initial size separation sorting we utilized a single parameter histogram with gates isolating the lower and upper 10% of the intensity distribution of the chosen parameter, unless otherwise indicated.

These results suggest that focussing on genes enriches for detectable association signals (in samples of the size we have utilized) providing support for a gene-centric approach.