… Normalization is a critical step in eliminating biases in microarray data for accurate analysis.
However, conventional normalization methods are usually not powerful in dealing with …

… the conclusion that for gene expression profiling in NSCLC the RGs most suitable for
normalization are rRNA18S, POLR2A, ESD and YAP1. For accurate normalization we recommend …

… for high-throughput and accurate expression profiling of selected genes. Given the … gene
for normalization have become increasingly stringent. Although housekeeping gene expression …

… genes. We recommend this gene for future studies to standardize gene expression …
Our study clearly demonstrates that the expression of the HPRT gene accurately reflects the …

… providing more diverse gene data, should allow for more accurate normalization. This effect
… most useful for the normalization of low gene number assays of gene expression, which can …

… We have shown in this study that gene expression stabilities are different among the sample
… for normalizing RT-qPCR data is needful. We propose that three best performing genes …

… introduces a systematic error that affects the accuracy of the measurement. … data normalized
by reference gene expression is accurate only if all observed variation in the normalization …

… genes for the normalization of gene expression in strawberry cultivars and under osmotic
stresses (salt and drought). Our results suggested that different suitable reference genes … genes …

… accuracy of statistical inferences from RNA-Seq data [16–18] and also prevent researchers
from properly modeling biological variation and group-specific changes in gene expression […

… As an indirect measure of prediction accuracy, we selected top 30 highly expressed genes
from … -known abundant genes such as GAPDH , ACTB and ribosomal genes. NEUMA’s top 30 …