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

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Publication:4969620
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DOI10.1002/sam.10005OpenAlexW4245701272WikidataQ34734232 ScholiaQ34734232MaRDI QIDQ4969620

Thomas Ziegler, Victoria C. P. Chen, Dean P. Jones, Seoung Bum Kim, Young Ja Park

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3066443


zbMATH Keywords

nuclear magnetic resonancefalse discovery ratefeature selectionmetabolomicsorthogonal signal correction


Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)





Cites Work

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  • Multiple hypothesis testing in microarray experiments.
  • The control of the false discovery rate in multiple testing under dependency.
  • FBP: A Frontier-Based Tree-Pruning Algorithm
  • 10.1162/153244303322753616
  • Statistical significance for genomewide studies
  • The elements of statistical learning. Data mining, inference, and prediction




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