Reference-informed evaluation of batch correction for single-cell omics data with overcorrection awareness
Abstract Batch effect correction (BEC) is fundamental to integrate multiple single-cell RNA sequencing datasets, and its success is critical to empower in-depth interrogation for biological insights. However, no simple metric is available to evaluate BEC performance with sensitivity to data overcorr...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-03-01
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| Series: | Communications Biology |
| Online Access: | https://doi.org/10.1038/s42003-025-07947-7 |
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