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How to do quantile normalization correctly for gene expression data analyses
Quantile normalization is an important normalization technique commonly used in high-dimensional data analysis. However, it is susceptible to class-effect proportion effects (the proportion of class-correlated variables in a dataset) and batch effects (the presence of potentially confounding technic...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511327/ https://www.ncbi.nlm.nih.gov/pubmed/32968196 http://dx.doi.org/10.1038/s41598-020-72664-6 |