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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173012/ https://www.ncbi.nlm.nih.gov/pubmed/24916385 http://dx.doi.org/10.1093/bioinformatics/btu370 |