Since we are determining the relative activity of a set of ligands, normalizing each ligand's activity by its relative concentration should not change the overall rank ordering.
A set of solutions normalized to unity in 0 ≤ r < ∞ is given by.
The normalization step, known as quantile normalization, was introduced separately and consists of an algorithm for normalizing a set of data vectors by giving them the same distribution [ 9].
Initially a set of 58 variables was collected and normalized to percentage, per capita, or density functions.
Each sample in a study was normalized using a set of SOMAmers that have the lowest overall relative signal variation across all samples within a study.
Data analysis was performed using the GenEx (MultiD Analyses, Sweden) software for Real-Time PCR expression profiling, and the results were normalized with a set of two internal control genes.
Since no true biological replicates were present in our data, the data sets were normalized against a set of 196 RBH-verified Drosophila melanogaster house-keeping (HK) genes.
We then applied a background correction in which the cross-coexpression matrix was normalized against a set of randomized matrices.
Both cell lines expressed ADAMTS13 mRNA as quantitated using quantitative PCR normalized to a set of unvaried genes.
Relative target gene expression was normalized to a set of eight reference genes (tested in Genorm with a pairwise variation (PV) of 0.07) for the transfection experiments.
