Protein-level batch-effect correction enhances robustness in MS-based proteomics
Abstract Batch effects, defined as unwanted technical variations caused by differences in labs, pipelines, or batches, are notorious in MS-based proteomics data, wherein protein quantities are inferred from precursor- and peptide-level intensities. However, the optimal stage for batch-effect correct...
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| Główni autorzy: | , , , , , , , , , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Nature Portfolio
2025-11-01
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| Seria: | Nature Communications |
| Dostęp online: | https://doi.org/10.1038/s41467-025-64718-y |
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