Systematic comparison of RNA-Seq normalization methods using measurement error models
Zhaonan Sun; Yu Zhu · 2012 · Bioinformatics
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
MOTIVATION: Further advancement of RNA-Seq technology and its application call for the development of effective normalization methods for RNA-Seq data. Currently, different normalization methods are compared and validated by their…
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Metadata source: OpenAlex · DOI 10.1093/bioinformatics/bts497