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Most tests (e.g. covariate association, perturbation association) give highly inflated significance (very low p-values) under typical thresholds (e.g. 0.05). We need to implement methods to calibrate the output of these tests against appropriate null p-value distributions.
Separately, reporting log2FC would also help interpretation as well as compared to using test statistics. In the dashboard we should prioritize reporting log2FC.
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