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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...

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Detalles Bibliográficos
Autores principales: Zhao, Yaxing, Wong, Limsoon, Goh, Wilson Wen Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
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