How to do quantile normalization correctly for gene expression data analyses

• Main Authors: Zhao, Yaxing, Wong, Limsoon, Goh, Wilson Wen Bin
• Other Authors: School of Biological Sciences
• Format: Article
• Language: English
• Published: 2021
• Subjects: Science::Biological sciences; Biological Techniques; Computational Biology and Bioinformatics
• Online Access: https://hdl.handle.net/10356/146067
• Institution: Nanyang Technological University

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...