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MetAssign: probabilistic annotation of metabolites from LC–MS data using a Bayesian clustering approach

Motivation: The use of liquid chromatography coupled to mass spectrometry has enabled the high-throughput profiling of the metabolite composition of biological samples. However, the large amount of data obtained can be difficult to analyse and often requires computational processing to understand wh...

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Detalhes bibliográficos
Main Authors: Daly, Rónán, Rogers, Simon, Wandy, Joe, Jankevics, Andris, Burgess, Karl E. V., Breitling, Rainer
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2014
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4173012/
https://ncbi.nlm.nih.gov/pubmed/24916385
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btu370
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