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EIS experimental data were fitted and analyzed by an equivalent-circuit model that incorporated two time constants: one representing the properties of the carburized layer and one representing those of the passive film.
The data were fitted and analyzed using the Origin 7 software package (Microcal).
Data were fitted and analyzed as described in Figure 3C.
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Experimental data were fitted by multiple regression analysis to a quadratic equation and analyzed statistically.
Normalized data were fitted to linear models in LIMMA to analyze DEGs using a moderated t-statistic (eBays) method [ 73].
In the best conditions, biosorption kinetics was analyzed and the experimental data were fitted with four kinetic models.
Then the acquired R-Q data are fitted by the quadratic R-Q model, and the fit errors are analyzed.
Furthermore, the FRAP data should be properly fitted and analyzed as described e.g. in Koskinen et al., (Mol. Cell. Neurosci., 2014) to obtain information about the dynamics of the mobile actin fraction.
The experimental data obtained were fitted to second-order polynomial equations and analyzed by analysis of variance.
The data were released and analyzed anonymously.
The concentration response data for individual chemicals were fit to sigmoidal curves and analyzed with nonlinear regression to generate EC50s and Hillslopes, which were used in response-addition and concentration addition models to calculate predicted responses for mixtures in the same plate.
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