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Local false discovery rate estimation using feature reliability in LC/MS metabolomics data
False discovery rate (FDR) control is an important tool of statistical inference in feature selection. In mass spectrometry-based metabolomics data, features can be measured at different levels of reliability and false features are often detected in untargeted metabolite profiling as chemical and/or...
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| Pubblicato in: | Sci Rep |
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| Autori principali: | , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Publishing Group
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4657040/ https://ncbi.nlm.nih.gov/pubmed/26596774 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep17221 |
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