Sentence examples for method which evaluates from inspiring English sources

Exact(7)

To measure the similarity between a pair of genes, we employed the mutual rank method, which evaluates the strength of co-expression [46].

The fast pulling of ligand (FPL) method, which evaluates the relative ligand-protein binding affinity with low CPU usage and high accuracy, was applied for the first time to determine the affinity of β-secretase 1 (Band1) and its inhibitors using steered-molecular dynamics simulations.

As a result, the assessment of footwear outcome needs rapid, objective and reproducible method, which evaluates the gait more thoroughly than the simple observation [ 7].

Purpose / Objective The assessment attempted to review the Country Programme by putting each of the programme areas through the logical framework method, which evaluates performance against planned target activities, outputs, objectives and goals.

Group comparisons were done using independent and paired sample t-tests, and correlations using Pearson's R. To further characterise the left hemispheric WM damage, we adopted a method which evaluates the integrity of the LH AF specifically.

We opted for the Morris global method, which evaluates parameter sensitivity over a range of physiological scenarios by taking the mean of many local sensitivity analyses calculated over the entire parameter space, thus accounting for interactions (McNally et al. 2011).

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Similar(53)

The first was a support-based method, which evaluated the individual trees generated for each gene in the nuclear or mitochondrial genome.

The isoconversional methods which evaluate the activation energy are advantageous as they do not require the knowledge of the analytical form of conversion function and, on the other hand, they give the possibility to evidence the change of the activation energy with the conversion degree.

Monte Carlo methods, which evaluate the results of multiple random trials, can be used to create approximations of.

Combinatorial methods which evaluate each such combination are not feasible [ 9].

When datasets contain many SNPs, methods which evaluate each possible combination are not feasible [ 14].

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