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Empirical evaluation of data normalization methods for molecular classification
BACKGROUND: Data artifacts due to variations in experimental handling are ubiquitous in microarray studies, and they can lead to biased and irreproducible findings. A popular approach to correct for such artifacts is through post hoc data adjustment such as data normalization. Statistical methods fo...
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| Publicado no: | PeerJ |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
PeerJ Inc.
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5899419/ https://ncbi.nlm.nih.gov/pubmed/29666754 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj.4584 |
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