… Our approach identified HPRT as the single best reference gene that could be used as
an … genes. We recommend this gene for future studies to standardize gene expression …

… This paper describes normalization methods for different … We illustrate the different approaches
using gene expression … and normalization (see Ëection 4 below) the gene expression …

… we propose to analyse gene expression data entirely in the … Genetic Algorithms (GAs), for
normalizing gene expression data. This is a necessary step before quantizing gene expression …

… evaluation of normalization is unavailable, we demonstrated the robustness of centralization
and the weaknesses of common competing methods on a real life gene expression data set…

… These genes should be useful for normalization of gene expression studies in soybean, an
… PCR, quantification of gene expression requires normalization against reference genes. Most …

… one popular normalization technique properly, the Quantile normalization (QN) method.
QN is extremely popular and produces very well-aligned distributions such that QN-normalized …

… shows the smallest loss in gene detection. We provide an R package, CONOR, capable of
performing the nine cross-platform normalization methods considered. The package can be …

… , and for normalizing two or more arrays. It is well known that the comparison of gene expression
results across experiments relies crucially on having an effective normalization scheme. …

… ratio (Figure 1a, Right) is a plot which effectively shows differences in gene expression (Y
axis) across the range of gene expression levels (X axis). The normalization processes …

… of the genetic analysis of gene expression is the impact of post-probe level normalization
on … methods for normalization of an Illumina bead-array gene expression profiling dataset …