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

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. |