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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Detalles Bibliográficos
Autores principales: Eo, Soo-Heang, Pak, Daewoo, Choi, Jeea, Cho, HyungJun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Technical Note
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

Internet

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

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