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Missing value imputation for LC-MS metabolomics data by incorporating metabolic network and adduct ion relations
MOTIVATION: Metabolomics data generated from liquid chromatography-mass spectrometry platforms often contain missing values. Existing imputation methods do not consider underlying feature relations and the metabolic network information. As a result, the imputation results may not be optimal. RESULTS...
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| Publié dans: | Bioinformatics |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Oxford University Press
2018
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5925787/ https://ncbi.nlm.nih.gov/pubmed/29272352 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx816 |
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