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

• المؤلفون الرئيسيون: Goh, Wilson Wen Bin, Yong, Chern Han, Wong, Limsoon
• مؤلفون آخرون: Lee Kong Chian School of Medicine (LKCMedicine)
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Computer science and engineering; Artificial Intelligence; Batch Effect
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/155992

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...