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Metabolite-based clustering and visualization of mass spectrometry data using one-dimensional self-organizing maps
BACKGROUND: One of the goals of global metabolomic analysis is to identify metabolic markers that are hidden within a large background of data originating from high-throughput analytical measurements. Metabolite-based clustering is an unsupervised approach for marker identification based on grouping...
| Autores principales: | , , , , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2008
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2464586/ https://www.ncbi.nlm.nih.gov/pubmed/18582365 http://dx.doi.org/10.1186/1748-7188-3-9 |