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

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

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...

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書目詳細資料
Main Authors:	Goh, Wilson Wen Bin, Yong, Chern Han, Wong, Limsoon
其他作者:	Lee Kong Chian School of Medicine (LKCMedicine)
格式:	Article
語言:	English
出版:	2022
主題:	Engineering::Computer science and engineering Artificial Intelligence Batch Effect
在線閱讀:	https://hdl.handle.net/10356/155992
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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