Sentence examples for evaluate the deviation of from inspiring English sources

The Normalized Sum of Squared Errors (NSSE), a metric to evaluate the deviation of the simulated response with relation to the measurements, gives a value less than 1% in most of the cases and a maximum of 2.3%, corroborating the accuracy of the proposed method.

Yoon et al. [ 18] used Mahalanobis distance to evaluate the deviation of the codon usage of a gene from the mean of that in the genome.

We also used our DNA external controls to evaluate the deviation of methylated DNA enrichment among DMH-v2, MMASS-v2, and MeDIP (using a 12-hr primary antibody incubation, and 2 hr, 3 hr, and 4 hr secondary antibody incubation).

In ecological research 0 1 tables, called 'presence absence' matrices (PAMs) (Miklós and Podani, 2004) are randomized to evaluate the deviation of observed phenomena, such as the co-occurrence of different species in the same habitat, from random expectations (Connor and Simberloff, 1979; Gotelli, 2000; Wilson, 1987).

The information theoretic measure we use to capture the asymptotic behavior of information processing evaluates the deviation of the unperturbed (or normal (n)) state from the perturbed (p) state caused by the perturbation of gene k.

Similar work can be also found on (Li et al. [2013]); where authors simply adopted a ratio to evaluate the deviation distance from centroid value of skin color.

In particular, AdOr-FF picks the first result that provides comparable diversity to the one predicted by the regression model, whereas while searching (S_{R,c}), AdOr-BF evaluates the deviation value of the result with maximum set distance from the diverse subset (S_c^{i-1}).

To determine the accuracy of the lesion tracking software we evaluated the deviation between the centre of each lesion (reference standard) and the location the automated lesion tracking software navigated to in the follow-up examination.

To solve this issue, we need to evaluate the standard deviation of NRC final for each amplicon region.

The precision of the method is evaluated as the deviation of obtained results from microscopy data.

To investigate further, we evaluated the standard deviation of Pearson r (0 1 h) for randomly chosen ORFs in steps of 10 up to 300 (with each selection repeated 30 times) from whole genome and measured the standard deviation (SD) of auto-correlation.