Large-scale untargeted LC-MS metabolomics data correction using between-batch feature alignment and cluster-based within-batch signal intensity drift correction

INTRODUCTION: Liquid chromatography-mass spectrometry (LC-MS) is a commonly used technique in untargeted metabolomics owing to broad coverage of metabolites, high sensitivity and simple sample preparation. However, data generated from multiple batches are affected by measurement errors inherent to a...

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Detalles Bibliográficos
Autores principales: Brunius, Carl, Shi, Lin, Landberg, Rikard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2016
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5031781/
https://www.ncbi.nlm.nih.gov/pubmed/27746707
http://dx.doi.org/10.1007/s11306-016-1124-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5031781/
https://www.ncbi.nlm.nih.gov/pubmed/27746707
http://dx.doi.org/10.1007/s11306-016-1124-4

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