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A comparative study of statistical methods for identifying differentially expressed genes in spatial transcriptomics

Fig 2

Power comparison of GEE with robust Wald test, GEE with GST, Independent GEE with robust Wald test and Wilcoxon test across different spatial scenarios and spatial cluster numbers.

Panels (a–f) represent power curves for three spatial scenarios with 25 and 100 clusters: (a) Scenario 1 (25 clusters), (b) Scenario 1 (100 clusters), (c) Scenario 2 (25 clusters), (d) Scenario 2 (100 clusters), (e) Scenario 3 (25 clusters), and (f) Scenario 3 (100 clusters). Scenarios represent varying spatial correlation and spatial variance: Scenario 1 (weak), Scenario 2 (moderate), and Scenario 3 (strong). Type I error and power were evaluated at a significance level of α = 0.001.

Fig 2

doi: https://doi.org/10.1371/journal.pcbi.1013956.g002