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Spearman's rho measures how well the ranking of one variable matches the ranking of another, from minus one to plus one, ignoring the actual values.
Spearman's rank correlation coefficient indicates how strongly two sets of ranks are correlated (Wikipedia). Drug-response models report it per drug across cell lines (then average over drugs), and mRNA-protein concordance is reported as a per-gene Spearman across tumours; it is robust to outliers and to differences of scale between platforms, which is why it also serves as a cross-platform concordance check. A high mean correlation can hide drugs with none.
Shares Drug-response baselines and frameworks: mean-drug floor, LightGBM, DrEval, IMPROVE, DeepTTA, Logistic regression and nearest-centroid classifiers, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares mRNA to protein concordance, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares mRNA to protein concordance, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Permutation test and the Mann-Whitney U test, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares mRNA to protein concordance, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Permutation test and the Mann-Whitney U test, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Drug-response baselines and frameworks: mean-drug floor, LightGBM, DrEval, IMPROVE, DeepTTA, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Drug-response baselines and frameworks: mean-drug floor, LightGBM, DrEval, IMPROVE, DeepTTA, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.