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Metabolomics variable selection and classification in the presence of observations below the detection limit using an extension of ERp
BACKGROUND: ERp is a variable selection and classification method for metabolomics data. ERp uses minimized classification error rates, based on data from a control and experimental group, to test the null hypothesis of no difference between the distributions of variables over the two groups. If the...
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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5290706/ https://ncbi.nlm.nih.gov/pubmed/28153039 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1480-8 |
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