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Removing batch effects for prediction problems with frozen surrogate variable analysis
Batch effects are responsible for the failure of promising genomic prognostic signatures, major ambiguities in published genomic results, and retractions of widely-publicized findings. Batch effect corrections have been developed to remove these artifacts, but they are designed to be used in populat...
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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
PeerJ Inc.
2014
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4179553/ https://ncbi.nlm.nih.gov/pubmed/25332844 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj.561 |
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