The phrase "a normalization factor based on" is correct and usable in written English.
It can be used in contexts involving statistical analysis, data processing, or mathematical modeling where a factor is adjusted according to certain criteria or data.
Example: "The results were adjusted using a normalization factor based on the average values of the dataset."
Alternatives: "a normalization coefficient derived from" or "a normalization parameter determined by".
Relative gene expression was calculated as 2 ΔCq and was normalized with a normalization factor based on the expression of the following reference genes: AT5G55840, AT2G28390 and AT4G34270 for roots, and AT2G28390, AT5G25760 and AT4G34270 for leaves (Remans et al., 2008).
(alpha ) is a normalization factor based on the summation of all (p_mathrm{i}) states.
We applied a normalization factor based on the geometric mean of the best-performing housekeeping genes.
We calculated a normalization factor based on the geometric mean of those genes, and we applied it to expression values of all the other genes tested.
In order to correct for differences in the amount of protein actually present in the gel, a normalization factor based on the Coomassie staining of the post-transfer gels was used (as described in Methods).
A normalization factor based on all three examined reference genes (β-actin, EF1AB and ARP) was used to calculate mean normalized expression (MNE) of the target genes [ 52] A simple t-test was used to compare differences in PCNA and apoptosis indices between the two groups of Atlantic salmon using the software Statistica TM, Release 4.5 (Statsoft, Inc., Tulsa, OK, USA 1993).
If peptide ratios deviate from unity, for instance due to errors in sample loading, a single normalization factor, based on the sum, average or median of all peptide abundances, can be used to minimize this offset.
The normalization was performed with normalization factors based on the reference gene levels calculated by geNorm v3.4 [ 48].
The Visual Basic Application geNorm version 3.4 [ 5, 14] was used to evaluate the expression stability of each gene, determine the ideal number of genes required for normalization, and calculate individual normalization factors based on the expression levels of the best reference genes.
GeNorm calculates a gene stability value (M) and a normalization factor (NF) based on the geometric mean of the expression values of the set of the control genes tested.
To adjust the overscaled C signals in the sequencing chromatograms we introduced a normalization factor (NF), based on the ratio of the signals for the C and T encoded by the tails of primers.
