Are batch effects still relevant in the age of big data?

• Main Authors: Goh, Wilson Wen Bin, Yong, Chern Han, Wong, Limsoon
• Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering; Artificial Intelligence; Batch Effect
• Online Access: https://hdl.handle.net/10356/155992
• Institution: Nanyang Technological University

Batch effects (BEs) are technical biases that may confound analysis of high-throughput biotechnological data. BEs are complex and effective mitigation is highly context-dependent. In particular, the advent of high-resolution technologies such as single-cell RNA sequencing presents new challenges. We...