Data-driven batch detection enhances single-cell omics data analysis

doi:10.1016/j.cels.2024.09.011

2024-10-01

PRE

Ziqi Zhang

Xiuwei Zhang *

DOI：10.1016/j.cels.2024.09.011

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摘要

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在单细胞组学研究中，数据通常跨多个批次收集，导致批次效应：即引入噪声并扭曲数据分布的技术混淆因素。校正这些效应具有挑战性，原因在于其来源未知、存在非线性扭曲，以及难以将数据准确分配给最适合整合方法的数据批次。

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7.7

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