software . 2018

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

Park, Youngha; Roede, James R.; Kong, Taewoon; Jones, Dean P; Lee, Kichun;
Open Access English
  • Published: 19 Dec 2018
  • Publisher: Zenodo
Abstract
<p><strong>Background</strong></p> <p>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 functional redundancies and multiple layers of regulation in complex biologic systems, individual biomarkers, while useful, are inherently limited in disease characterization.&nbsp; Data reduction and discriminant analysis tools such as principal component analysis (PCA), partial least squares (PLS), or orthogonal PLS (O-PLS) provide approaches to sepa...
Subjects
free text keywords: Medicine, Genetics, Biotechnology, Sociology, Cancer, Computational Biology, 19999 Mathematical Sciences not elsewhere classified, 39999 Chemical Sciences not elsewhere classified, WT, discovery rate, group-wise metabolite selection, PCA, approach, mass spectrometry Background Analytic methods, biplot correlation range, BCR, O-PLS, PLS, discriminant analysis tools, manner, LC-MS, phenotype, TG, biomarker
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Zenodo
Software . 2018
Provider: Datacite
Zenodo
Software . 2018
Provider: Datacite
Zenodo
Software . 2018
Provider: Datacite
Zenodo
Software . 2018
Provider: Datacite
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software . 2018

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

Park, Youngha; Roede, James R.; Kong, Taewoon; Jones, Dean P; Lee, Kichun;