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...

Descripción completa

Detalles Bibliográficos
Autores principales: Meinicke, Peter, Lingner, Thomas, Kaever, Alexander, Feussner, Kirstin, Göbel, Cornelia, Feussner, Ivo, Karlovsky, Petr, Morgenstern, Burkhard
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Research
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

Internet

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

Ejemplares similares