Assessing and mitigating batch effects in large-scale omics studies
Abstract Batch effects in omics data are notoriously common technical variations unrelated to study objectives, and may result in misleading outcomes if uncorrected, or hinder biomedical discovery if over-corrected. Assessing and mitigating batch effects is crucial for ensuring the reliability and r...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
BMC
2024-10-01
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| Edice: | Genome Biology |
| On-line přístup: | https://doi.org/10.1186/s13059-024-03401-9 |
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