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Improving peak detection in high-resolution LC/MS metabolomics data using preexisting knowledge and machine learning approach
Motivation: Peak detection is a key step in the preprocessing of untargeted metabolomics data generated from high-resolution liquid chromatography-mass spectrometry (LC/MS). The common practice is to use filters with predetermined parameters to select peaks in the LC/MS profile. This rigid approach...
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| Hoofdauteurs: | , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Oxford University Press
2014
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4184266/ https://ncbi.nlm.nih.gov/pubmed/25005748 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btu430 |
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