Examining the practical limits of batch effect-correction algorithms : when should you care about batch effects?

• Main Authors: Zhou, Longjian, Sue, Andrew Chi-Hau, Goh, Wilson Wen Bin
• Other Authors: School of Biological Sciences
• Format: Article
• Language: English
• Published: 2021
• Subjects: Science::Biological sciences; Batch Effects; Bioinformatics
• Online Access: https://hdl.handle.net/10356/150368
• Institution: Nanyang Technological University

Batch effects are technical sources of variation and can confound analysis. While many performance ranking exercises have been conducted to establish the best batch effect-correction algorithm (BECA), we hold the viewpoint that the notion of best is context-dependent. Moreover, alternative questions...