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Comparison of methods for the detection of outliers and associated biomarkers in mislabeled omics data
BACKGROUND: Previous studies have reported that labeling errors are not uncommon in omics data. Potential outliers may severely undermine the correct classification of patients and the identification of reliable biomarkers for a particular disease. Three methods have been proposed to address the pro...
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| Publicado no: | BMC Bioinformatics |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7646480/ https://ncbi.nlm.nih.gov/pubmed/32795265 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-03653-9 |
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