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MetaClean: a machine learning-based classifier for reduced false positive peak detection in untargeted LC–MS metabolomics data
INTRODUCTION: Despite the availability of several pre-processing software, poor peak integration remains a prevalent problem in untargeted metabolomics data generated using liquid chromatography high-resolution mass spectrometry (LC–MS). As a result, the output of these pre-processing software may r...
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| Publicado no: | Metabolomics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7895495/ https://ncbi.nlm.nih.gov/pubmed/33085002 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11306-020-01738-3 |
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