A biplot correlation range for group-wise metabolite selection in mass spectrometry

Abstract Background Analytic methods are available to acquire extensive metabolic information in a cost-effective manner for personalized medicine, yet disease risk and diagnosis mostly rely upon individual biomarkers based on statistical principles of false discovery rate and correlation. Due to fu...

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Bibliographic Details
Published in:BioData Mining
Main Authors: Youngja H Park, Taewoon Kong, James R. Roede, Dean P. Jones, Kichun Lee
Format: Article
Language:English
Published: BMC 2019-02-01
Subjects:
Feature selection
Biplot correlation
Metabolomics
Online Access:http://link.springer.com/article/10.1186/s13040-019-0191-2

Internet

http://link.springer.com/article/10.1186/s13040-019-0191-2

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