Author

Kerstin Scheubert

Friedrich Schiller University Jena

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Biology Disciplines

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Assay:metabolomics· 1 Approach:statistical model· 1

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Daniel PetrasiD· 1 shared Franziska HufskyiD· 1 shared Kai DührkopiD· 1 shared Louis-Félix Nothias-ScagliaiD· 1 shared Mingxun WangiD· 1 shared Nuno BandeiraiD· 1 shared Pieter C. DorresteiniD· 1 shared Sebastian BöckeriD· 1 shared

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1 paper

Recent·Most cited

BioinformaticsNature CommunicationsPeer-reviewedNov 8, 2017

Significance estimation for large scale untargeted metabolomics annotations

Kerstin Scheubert, Franziska Hufsky, Daniel Petras…·Sebastian Böcker

The paper develops methods to estimate false discovery rates in untargeted metabolomics annotations and shows how adjusting spectral matching parameters can significantly increase the number of annotations.

180 citationstop 2%

metabolomicsstatistical model

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