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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7646480/ https://www.ncbi.nlm.nih.gov/pubmed/32795265 http://dx.doi.org/10.1186/s12859-020-03653-9 |