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Outlier Detection using Projection Quantile Regression for Mass Spectrometry Data with Low Replication
BACKGROUND: Mass spectrometry (MS) data are often generated from various biological or chemical experiments and there may exist outlying observations, which are extreme due to technical reasons. The determination of outlying observations is important in the analysis of replicated MS data because ela...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2012
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3514222/ https://www.ncbi.nlm.nih.gov/pubmed/22587344 http://dx.doi.org/10.1186/1756-0500-5-236 |