Selected article for: "data analysis and disease potential"

Author: Zang, Xiaoling; Monge, María Eugenia; Fernández, Facundo M
Title: Mass Spectrometry-Based Non-targeted Metabolic Profiling for Disease Detection: Recent Developments.
  • Cord-id: xgvlzwsk
  • Document date: 2019_9_1
  • ID: xgvlzwsk
    Snippet: Mass spectrometry (MS) plays an important role in seeking biomarkers for disease detection. High-quality quantitative data is needed for accurate analysis of metabolic perturbations in patients. This article describes recent developments in MS-based non-targeted metabolomics research with applications to the detection of several major common human diseases, focusing on study cohorts, MS platforms utilized, statistical analyses and discriminant metabolite identification. Potential disease biomark
    Document: Mass spectrometry (MS) plays an important role in seeking biomarkers for disease detection. High-quality quantitative data is needed for accurate analysis of metabolic perturbations in patients. This article describes recent developments in MS-based non-targeted metabolomics research with applications to the detection of several major common human diseases, focusing on study cohorts, MS platforms utilized, statistical analyses and discriminant metabolite identification. Potential disease biomarkers recently discovered for type 2 diabetes, cardiovascular disease, hepatocellular carcinoma, breast cancer and prostate cancer through metabolomics are summarized, and limitations are discussed.

    Search related documents:
    Co phrase search for related documents
    • Try single phrases listed below for: 1
    Co phrase search for related documents, hyperlinks ordered by date