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A permutation test builds the null distribution by shuffling labels (or spot positions) many times and asks how often chance does as well as the real result; the Mann-Whitney U test compares two groups by ranks without assuming a normal distribution.
A permutation test is an exact hypothesis test in which the null distribution of the statistic is obtained by recomputing it over rearrangements of the labels (Wikipedia). It gives p-values for Moran's I, for enrichment scores and for any model metric where the parametric distribution is unknown. The Mann-Whitney U test is the non-parametric test that randomly chosen values from two populations have the same distribution (Wikipedia), the default for comparing, say, predicted risk between responders and non-responders.
Shares Spatial autocorrelation (Moran's I), Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Spearman rank correlation, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Bootstrap resampling, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Spearman rank correlation, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Bootstrap resampling, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Bootstrap resampling, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Spatial autocorrelation (Moran's I), Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Spearman rank correlation, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.