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Hierarchical clustering analyses and principal component analyses (PCA). Hierarchical clustering of emerging data results in effective separation of patients’ groups. However, an overlap is still visible in the PCA of the proteomics data (A), whereas for mRNA (B) and miRNA data (C) PCA allows a complete separation of the two groups.
