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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| Otros Autores: | |
| Formato: | Journal Article |
| Lenguaje: | English |
| Publicado: |
2021
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10356/146067 |