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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...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2012
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3514222/ https://ncbi.nlm.nih.gov/pubmed/22587344 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1756-0500-5-236 |
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