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Large-scale untargeted LC-MS metabolomics data correction using between-batch feature alignment and cluster-based within-batch signal intensity drift correction
INTRODUCTION: Liquid chromatography-mass spectrometry (LC-MS) is a commonly used technique in untargeted metabolomics owing to broad coverage of metabolites, high sensitivity and simple sample preparation. However, data generated from multiple batches are affected by measurement errors inherent to a...
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| Vydáno v: | Metabolomics |
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| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Springer US
2016
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5031781/ https://ncbi.nlm.nih.gov/pubmed/27746707 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11306-016-1124-4 |
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