Constrained randomization and multivariate effect projections improve information extraction and biomarker pattern discovery in metabolomics studies involving dependent samples

Analytical drift is a major source of bias in mass spectrometry based metabolomics confounding interpretation and biomarker detection. So far, standard protocols for sample and data analysis have not been able to fully resolve this. We present a combined approach for minimizing the influence of anal...

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Detalles Bibliográficos
Autores principales: Jonsson, Pär, Wuolikainen, Anna, Thysell, Elin, Chorell, Elin, Stattin, Pär, Wikström, Pernilla, Antti, Henrik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2015
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4605978/
https://www.ncbi.nlm.nih.gov/pubmed/26491420
http://dx.doi.org/10.1007/s11306-015-0818-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4605978/
https://www.ncbi.nlm.nih.gov/pubmed/26491420
http://dx.doi.org/10.1007/s11306-015-0818-3

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