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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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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2012
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| Matèries: | |
| Accés en línia: | 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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