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DuReS: An R package for denoising experimental tandem mass spectrometry-based metabolomics data

2024-09-19

Abstract excerpt

Mass spectrometry-based untargeted metabolomics is a powerful technique for profiling small molecules in biological samples, yet accurate metabolite identification remains challenging. One of the primary obstacles in processing tandem mass spectrometry data is the prevalence of random noise peaks, which can result in false annotations and necessitate labor-intensive verification. A common method for removing noise...

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Literature Corpus work
4b88c2e5-a372-510c-a19b-eb68d140067c
DOI
10.1101/2024.09.16.613198
Open publication

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DuReS: An R package for denoising experimental tandem mass spectrometry-based metabolomics dataDOI 10.1101/2024.09.16.613198
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