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Comparison of methods for the detection of outliers and associated biomarkers in mislabeled omics data
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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.
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