Discriminating Variable Test and Selectivity Ratio Plot: Quantitative Tools for Interpretation and Variable (Biomarker) Selection in Complex Spectral or Chromatographic Profiles-Reference-Cited by-同舟云学术

Discriminating Variable Test and Selectivity Ratio Plot: Quantitative Tools for Interpretation and Variable (Biomarker) Selection in Complex Spectral or Chromatographic Profiles

Published:2009-02-19 Issue:7 Volume:81 Page:2581-2590
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Rajalahti Tarja¹,Arneberg Reidar¹,Kroksveen Ann C.¹,Berle Magnus¹,Myhr Kjell-Morten¹,Kvalheim Olav M.¹

Affiliation:

1. Department of Clinical Medicine, University of Bergen, Bergen, Norway, Department of Neurology, Haukeland University Hospital, Bergen, Norway, Pattern Recognition Systems AS, Bergen, Norway, Institute of Medicine, University of Bergen, Bergen, Norway, The National Competence Centre for Multiple Sclerosis, Haukeland University Hospital, Bergen, Norway, and Department of Chemistry, University of Bergen, Bergen, Norway

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ac802514y

Reference29 articles.

1. Screening of Biomarkers in Rat Urine Using LC/Electrospray Ionization-MS and Two-Way Data Analysis

2. Large-Scale Human Metabolomics Studies: A Strategy for Data (Pre-) Processing and Validation

3. Statistical Total Correlation Spectroscopy: An Exploratory Approach for Latent Biomarker Identification from Metabolic 1H NMR Data Sets

4. High-Throughput Data Analysis for Detecting and Identifying Differences between Samples in GC/MS-Based Metabolomic Analyses

5. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS

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