Issue 73, 2015

Evaluation and optimization of biomarkers in a primary dysmenorrhea model using ultra performance liquid chromatography coupled with quadrupole-time-of-flight mass spectrometry combined with a support vector machine

Abstract

A comprehensive plasma metabolic profiling analysis method was established to evaluate the potential biomarkers in a primary dysmenorrhea model combined with the method of a support vector machine which optimized the selected potential biomarkers. This is an original report to provide verification for the extensive application of the model both in a laboratory and clinic.

Graphical abstract: Evaluation and optimization of biomarkers in a primary dysmenorrhea model using ultra performance liquid chromatography coupled with quadrupole-time-of-flight mass spectrometry combined with a support vector machine

Supplementary files

Article information

Article type
Communication
Submitted
08 May 2015
Accepted
22 Jun 2015
First published
22 Jun 2015

RSC Adv., 2015,5, 59564-59569

Evaluation and optimization of biomarkers in a primary dysmenorrhea model using ultra performance liquid chromatography coupled with quadrupole-time-of-flight mass spectrometry combined with a support vector machine

L. Fang, X. Liu, Z. Zhang, A. Li, H. Deng, L. Wang, Z. Hou, C. Gu, Y. Xu and Y. Li, RSC Adv., 2015, 5, 59564 DOI: 10.1039/C5RA08568C

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