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The values were obtained by applying nonlinear regression to the Michaelis-Menten equation.
K M and v max of ureolytic reaction by applying nonlinear regression to the Michaelis-Menten equation were 2.001 ± 0.08 mM and 0.125 ± 0.07 mM/min, respectively.
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Because some studies have reported that methylation levels can change most dramatically during childhood [ 12], we applied nonlinear regression models as well as linear regression models.
The parameters ξ, γ, and η could then be estimated by applying nonlinear least-squares regression to the equation, (A1) and solving for α and δ in Equations (15) and (16).
Traditionally, the parameters are obtained by applying (linear or nonlinear) regression procedures on data which are collected in a time-consuming and labor-intensive series of inactivation experiments at constant temperatures (so-called static experiments).
To find a simple model to describe the experimental results, we applied the nonlinear regression model by fitting the data set and then evaluated the fitted curve by calculating the correlation coefficient between the original data and the fitting curve.
The linear approximation has been applied in nonlinear regression analyses [ 18].
For each protein, we applied a nonlinear regression fits of first order exponential curves to the % newly synthesized protein using: y = 100 + β1eαt.
Optimum partial descriptions of the nonlinear system are calculated by applying regression analysis to the training data.
The potential regression-to-the-mean problem is addressed by applying the ANCOVA regression approach.
Michaelis-Menten constant (Km) and catalytic constant (kcat) were obtained by nonlinear regression applying the Michaelis-Menten model in the Anemona program (Hernández and Ruiz 1998).
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