Normalization of RNA-sequencing (RNA-seq) data has proven essential to ensure accurate inference of expression levels. Here, we show that usual normalization approaches mostly account for sequencing ...

While LVS normalization requires setting in advance a number for the fraction of genes to be considered as non-differentially expressed, with values in the range 40–60% 45, Cross-Correlation and NVAS ...

Normalization is an essential step in the analysis of high-throughput data. Multi-sample global normalization methods, such as quantile normalization, have been successfully used to remove technical ...

A term that looks much worse after normalization. E.g. the one that uses sharing extensively. It is not a counterexample to normalization per se, but to normalization seen as optimization or god ...