Sentence examples for assessing the normalized from inspiring English sources

The comparative CT method (ΔΔCT) for the relative quantification of gene expression was used for assessing the normalized expression value of defense-related genes using the 18S rRNA as the control transcript (Opticon Monitor 3 Software, Bio-Rad).

The comparative CT method (ΔΔCT) for the relative quantification of gene expression was used for assessing the normalized expression value of immune-related genes using the 28S rRNA as the control transcript (CFX Manager™ Software, Bio-Rad).

The binning window to assess the mean normalized depth is 100 kb.

To examine " the "goodness of fit", a perfect agreement between the data and the anticipated model with a specific set of fit parameters was assessed when the normalized χ value (χ R) was close to 1; a value less than 1.2 was considered to be acceptable.

The performance of each fault model on recreating the tsunami data was assessed using the normalized root mean square error (NRMSE) (Heidarzadeh et al. 2016).

The validity of similarity scaling for atmospheric methane under convective conditions was also assessed and the normalized standard deviations of methane concentrations did not scale well with ζ, highlighting the heterogeneity in natural methane production and release across the bog.

The objectives of this study are to examine how relationships between cover crop biomass, assessed using the normalized difference vegetation index (NDVI), and topography depend on the neighborhood size used for deriving topographic attributes and creating NDVI maps; and identify the optimal neighborhood size for correlation and regression analyses.

Single-unit responses were then assessed using the normalized response magnitude, calculated as: RM  =  100 × (P/B).

Vegetation changes were assessed using the normalized difference vegetation index (NDVI) data [ Tucker et al., 2005] from the Advanced Very High Resolution Radiometer remote sensing instrument.

In chow-fed rats adenosine resulted in a robust >40%% rise in coronary perfusion as assessed by the normalized relative upslope of the signal-time curve, reflecting an adequate hyperaemic response.

Goodness of fit of a fuzzy clustering solution can be assessed by the normalized Dunn partition coefficient Fc(U) that ranges from 0 (completely fuzzy) to 1 (hard clustering) and by the coefficient Dc(U) which ranges from 0 (hard clustering) to 1-(1/K) (completely fuzzy), where K is the number of clusters.