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

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 and limi...

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Detalles Bibliográficos
Autores principales: Yu, Ying, Zhang, Naixin, Mai, Yuanbang, Ren, Luyao, Chen, Qiaochu, Cao, Zehui, Chen, Qingwang, Liu, Yaqing, Hou, Wanwan, Yang, Jingcheng, Hong, Huixiao, Xu, Joshua, Tong, Weida, Dong, Lianhua, Shi, Leming, Fang, Xiang, Zheng, Yuanting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10483871/
https://www.ncbi.nlm.nih.gov/pubmed/37674217
http://dx.doi.org/10.1186/s13059-023-03047-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10483871/
https://www.ncbi.nlm.nih.gov/pubmed/37674217
http://dx.doi.org/10.1186/s13059-023-03047-z

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