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Finally, in order to compare the data from different experimental conditions, we calculated 2−ΔΔCt values, which are obtained by normalizing the experimental data by reference data.
Relative intensity (RI) was calculated by normalizing the experimental AI to the corresponding control AI.
Relative intensity (RI) for each experimental band was calculated by normalizing the experimental AI to the corresponding control AI.
Absolute intensity (AI) for each experimental p53 band and corresponding control band was obtained, and relative intensity was calculated by normalizing the experimental AI to the corresponding control AI.
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The ratio of cell growth was calculated by normalizing the number of experimental cells to that of control cells.
Therefore, we removed the largest effect — the organ effect — by normalizing the root and shoot samples for each experimental condition as described in Methods.
To accurately assess the effect of contextual conditioning in gene expression in the hippocampus, we first removed unwanted variation detected by PCA by normalizing the expression matrix using k = 1 PCs, as described in experimental procedures.
An adjusted estimate for solids and nutrients was generated by normalizing the stay time.
However, this variation can be reduced significantly by normalizing the independent variables.
It is shown that by appropriately normalizing the pressure gradient and by tuning the degree of anisotropy, experimental results can be closely reproduced by the modified model.
The amount of target (2−ΔΔCT) was obtained by normalizing to the endogenous reference (18S) and relative to a calibrator (one of the experimental samples).
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