Furthermore, several of the biomarkers demonstrated highly significant pairwise differences between clusters after correction for multiple testing, namely, “comet assay” patterns of classes I, III, IV and expression rates of calgranulin A (S100), SOD2 and profilin—all measured ex vivo in circulating leucocytes.
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Optimal multiparametric set-up modelled for best survival outcomes in palliative treatment of liver malignancies: unsupervised machine learning and 3 PM recommendations.
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