Research Articles

Controlling the False Discovery Rate for Feature Selection in High-resolution NMR Spectra

  1. Seoung Bum Kim1,*,
  2. Victoria C. P. Chen1,
  3. Youngja Park2,
  4. Thomas R. Ziegler2,
  5. Dean P. Jones2

Article first published online: 25 MAR 2008

DOI: 10.1002/sam.10005

Issue

Statistical Analysis and Data Mining

Statistical Analysis and Data Mining

Volume 1, Issue 2, pages 57–66, June 2008

Additional Information

How to Cite

Kim, S. B., Chen, V. C. P., Park, Y., Ziegler, T. R. and Jones, D. P. (2008), Controlling the False Discovery Rate for Feature Selection in High-resolution NMR Spectra. Statistical Analy Data Mining, 1: 57–66. doi: 10.1002/sam.10005

Author Information

  1. 1

    Department of Industrial and Manufacturing Systems Engineering, University of Texas at Arlington, Arlington, TX, 76019, USA

  2. 2

    Clinical Biomarker Laboratory, Center for Clinical and Molecular Nutrition, Department of Medicine, Emory University, Atlanta, GA, 30322, USA

*Department of Industrial and Manufacturing Systems Engineering, University of Texas at Arlington, Arlington, TX, 76019, USA

Publication History

  1. Issue published online: 12 JUN 2008
  2. Article first published online: 25 MAR 2008
  3. Manuscript Accepted: 15 FEB 2008
  4. Manuscript Revised: 13 FEB 2008
  5. Manuscript Received: 16 APR 2007

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