A likelihood-based approach to defining statistical significance in proteomic analysis where missing data cannot be disregarded

DOI10.1016/J.SIGPRO.2004.06.019zbMATH Open1148.62321OpenAlexW2053053942MaRDI QIDQ956004

B. E. Eshmatov

Publication date: 25 November 2008

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2004.06.019

Mathematics Subject Classification ID

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Related Items (1)

The effects of nonignorable missing data on label-free mass spectrometry proteomics experiments

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