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This method of normalizing was extensively described elsewhere [41].
In this report, we provide evidence to demonstrate that the classical ΔF/F method of normalizing functional signal can introduce dynamically-changing biases in amplitude quantification of neural activity.
The method of normalizing the gene expression data is based on research in [ 58], in which the geometric mean of several internal controls was used to normalize the gene expression data.
We present a robust method of normalizing and analyzing ERs based on arbitrary thresholds and statistical criteria, and characterize a "norm of reaction" of ERs for 6 genes (4 of known function, 2 of unknown) with different ERs as determined across all analyzed arrays to provide a biologically-informed alternative to the use of arbitrary expression ratios in determining significance of expression.
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There are several methods of normalizing the data and calculating the fold-change of each gene between samples.
In the process of establishing molecular equivalence, we test different methods of normalizing the data to remove institutional bias and we comment on their effectiveness.
In older adults, the variability in results may be due to statistical methods of normalizing for age and head size [ 11, 12].
Here we report a method (designated the "Percellome" method) for normalizing the expression of mRNA values in biological samples.
Thus, we developed a reliable method for normalizing the 3D orientation of each femoral model in 3ds Max software (Autodesk, available at http://www.autodesk.com/).com/
The row permutation procedure adopted by the method has the objective of normalizing the enrichment score.
There is no clear scientific method for assessing the overall benefits or detriments of normalizing highly technologically mediated, medicalized birth.
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