Distinguishing the serum metabolite profiles differences in breast cancer by gas chromatography mass spectrometry and random forest method. Issue 73 (9th August 2015)

• Record Type: Journal Article
• Authors: Huang, Jian-Hua; Fu, Liang; Li, Bin; Xie, Hua-Lin; Zhang, Xiaojuan; Chen, Yanjiao; Qin, Yuhui; Wang, Yuhong; Zhang, Shuihan; Huang, Huiyong; Liao, Duanfang; Wang, Wei
• Is Part Of: RSC advances. Volume 5:Issue 73(2015)
• Page Start: 58952
• Page End: 58958
• Publication Date: 2015-08-09
• Subjects: Chemistry -- Periodicals; 540.5
• DOI: 10.1039/c5ra10130a
• Languages: English
• ISSNs: 2046-2069

Abstract

<abstract abstract-type="toc"> <title> <x xml:space="preserve">Abstract</x> </title> <p> <graphic position="anchor" id="ga" xlink:href="ark:/27927/pgj26brfbgr" xlink:type="simple" xmlns:xlink="http://www.w3.org/1999/xlink" />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).</p> </abstract>