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Fig. 5 | BMC Bioinformatics

Fig. 5

From: PhyliCS: a Python library to explore scCNA data and quantify spatial tumor heterogeneity

Fig. 5

SHscore distribution. We computed the SHscore on 100 synthetic datasets simulating regional subsampling (a) (Mann–Whitney U test p-value \(3.5 \times 10^{-18}\)). Het-scenario =  min: -0.020, max: -0.004, median: -0.010, IQR: 0.004. Hom-scenario = min: 0.043, max: 0.295, median: 0.151, IQR: 0.064. We also computed the SHscore on 100 synthetic dataset simulating metastasis spreading (b)(Mann–Whitney U p-value 0.0029). EarlyMet scenario = min: 0.103, max: 0.461, median: 0.267, IQR: 0.124; LateMet scenario = min: 0.195, max: 0.547, median: 0.320, IQR: 0.084

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