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Hybrid feature detection and information accumulation using high-resolution LC- MS metabolomics data
Feature detection is a critical step in the preprocessing of Liquid Chromatography – Mass Spectrometry (LC-MS) metabolomics data. Currently, the predominant approach is to detect features using noise filters and peak shape models based on the data at hand alone. Databases of known metabolites and hi...
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| Główni autorzy: | , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
2013
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3624888/ https://ncbi.nlm.nih.gov/pubmed/23362826 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/pr301053d |
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