Distinguishing the serum metabolite profiles differences in breast cancer by gas chromatography mass spectrometry and random forest method
Keyword(s):
In this study, we proposed a metabolomics strategy to distinguish different metabolic characters of healthy controls, breast benign (BE) patients, and breast malignant (BC) patients by using the GC-MS and random forest method (RF).
Analysis of pristanic acid β-oxidation intermediates in plasma from healthy controls and patients affected with peroxisomal disorders by stable isotope dilution gas chromatography mass spectrometry
2020 ◽
Vol 19
(5)
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pp. 1913-1922
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