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Preserving biological heterogeneity with a permuted surrogate variable analysis for genomics batch correction
Motivation: Sample source, procurement process and other technical variations introduce batch effects into genomics data. Algorithms to remove these artifacts enhance differences between known biological covariates, but also carry potential concern of removing intragroup biological heterogeneity and...
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| Main Authors: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Oxford University Press
2014
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4173013/ https://ncbi.nlm.nih.gov/pubmed/24907368 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btu375 |
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