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.
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.