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Batch Effect Confounding Leads to Strong Bias in Performance Estimates Obtained by Cross-Validation
BACKGROUND: With the large amount of biological data that is currently publicly available, many investigators combine multiple data sets to increase the sample size and potentially also the power of their analyses. However, technical differences (“batch effects”) as well as differences in sample com...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2014
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4072626/ https://www.ncbi.nlm.nih.gov/pubmed/24967636 http://dx.doi.org/10.1371/journal.pone.0100335 |