Correcting batch effects in large-scale multiomics studies using a reference-material-based ratio method

Correcting batch effects in large-scale multiomics studies using a reference-material-based ratio method

Abstract Background Batch effects are notoriously common technical variations in multiomics data and may result in misleading outcomes if uncorrected or over-corrected. A plethora of batch-effect correction algorithms are proposed to facilitate data integration. However, their respective advantages...

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Bibliographic Details
Main Authors: Ying Yu, Naixin Zhang, Yuanbang Mai, Luyao Ren, Qiaochu Chen, Zehui Cao, Qingwang Chen, Yaqing Liu, Wanwan Hou, Jingcheng Yang, Huixiao Hong, Joshua Xu, Weida Tong, Lianhua Dong, Leming Shi, Xiang Fang, Yuanting Zheng
Format: Article
Language:English
Published: BMC 2023-09-01
Series:Genome Biology
Subjects:
Batch effect
Ratio
Reference materials
Multiomics
Phenomics
Differentially expressed
Online Access:https://doi.org/10.1186/s13059-023-03047-z

Internet

https://doi.org/10.1186/s13059-023-03047-z

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