Table 1.
Omic | numFeatb | DEpercb | Deltaa | Dispersiona | minSampleSize | optSampleSize | Power |
---|---|---|---|---|---|---|---|
RNA-seq | 12,762 | 0.4 | 0.61 | 0.32 | 5 | 16 | 0.999 |
miRNA-seq | 469 | 0.2 | 0.50 | 0.46 | 14 | 16 | 0.680 |
ChIP-seq | 23,875 | 0.2 | 1.35 | 0.96 | 10 | 16 | 0.898 |
DNase-seq | 52,788 | 0.2 | 0.51 | 0.49 | 16 | 16 | 0.627 |
Metabolomics | 60 | 0.6 | 1.20 | 0.52 | 4 | 16 | 1.000 |
Proteomics | 1077 | 0.2 | 1.16 | 1.05 | 14 | 16 | 0.685 |
MultiPower results were obtained for the same sample size in all technologies, a minimum power per omic of 0.6, a minimum average power of 0.8, and a Cohen’s d of 0.8.
numFeat number of omic features, DEperc expected proportion of DE features, delta difference of means to be detected, dispersion pooled standard deviation, minSampleSize sample size to achieve the minimum power per omic, optSampleSize optimal sample size for the experiment, power power reached with the optimal sample size.
aParameter estimated by MultiPower.
bParameter provided by the user.