Profiling cancer metabolism at the 'omic' level: a last resort or the next frontier?

A convincing example of the power of untargeted metabolomics to identify serum markers of non-small-cell lung cancer was recently published in the Journal of Clinical Oncology. Untargeted metabolomics provides data on a larger number of compounds, but the data are less quantitatively reliable. [...]...

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Veröffentlicht in:	Cancer & metabolism 2016-03, Vol.4 (1), p.2-2, Article 2
Hauptverfasser:	Gelman, Susan J, Patti, Gary J
Format:	Artikel
Sprache:	eng
Schlagworte:	Cancer Carcinogenesis Cell metabolism Data processing Experiments Gene expression Genetic aspects Genotype Health aspects Laboratories Mass spectrometry Mathematical models Metabolism Metabolites Properties Scientific imaging Studies
Online-Zugang:	Volltext
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