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Filtering procedures for untargeted LC-MS metabolomics data
BACKGROUND: Untargeted metabolomics datasets contain large proportions of uninformative features that can impede subsequent statistical analysis such as biomarker discovery and metabolic pathway analysis. Thus, there is a need for versatile and data-adaptive methods for filtering data prior to inves...
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| Veröffentlicht in: | BMC Bioinformatics |
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| Hauptverfasser: | , , , , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6570933/ https://ncbi.nlm.nih.gov/pubmed/31200644 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-2871-9 |
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