Sentence examples for be transformed by using from inspiring English sources

These anchors can then be transformed by using the classical NHS ester approach and the more recent Click conjugations, respectively.

Continuous predictor variables that demonstrate a non-linear relationship with the dependent variable (predicted probability of chronic LBP) will be transformed by using fractional polynomial procedure.

The predicted values are transformed by using an inverse log transformation resulting in positive values.

The equations of motion are transformed by using the technique of modal approximation.

In the embedding process the quads are transformed by using (10) and then divided into the sets,, and.

Since the global complementary cumulative distribution functions are comparable, we can choose a very low epsilon ( ε = 0.01 ) with the aim to emphasize the very good quality of mobility analysis that an analyst can obtain even if the data are transformed by using a very low ε value, i.e. obtaining a better privacy protection.

OneShot TOP10 chemically competent E.coli cells (Invitrogen) were transformed by using 5 µl of the LR reaction.

Thus, the experimental results obtained by prism-assisted ellipsometry were transformed by using Eq. (2) of Ref [ 20]. in order to analyze the data with the J. A. Woolam ellipsometer-equipped software (WVASE32).

First, planning CT and MV-CBCT images were transformed by using a 3D linear interpolation technique to 5.0 mm isotropic images in order to reduce the calculation time for the registration.

Arabidopsis thaliana (Col-0 ecotype) was transformed by using the floral dip method [ 64] and the selected transgenic plants were confirmed by PCR using specific primers: Promo164-300 and INTRO AKK (for transgenic P-miR164a::GUS plants), 35S and INTRO AKK (for transgenic 35S::GUS plants), and GUS up and GUS low (for all transgenic lines).

Standardized peak areas were transformed by using the formula: Z ij = log[X i, j/g(X j)], with X i, j being the standardized peak area i for the sample j, and g(X j) the geometric mean of all peaks of the sample j [ 51].