Table 3 Testing characteristics compared
From: MCMSeq: Bayesian hierarchical modeling of clustered and repeated measures RNA sequencing experiments
Characteristic | Description | Significance Thresholds | P-Value |
|---|---|---|---|
Type 1 Error Rate | \(\frac {\text {N false positives}} {\text {N null genes}}\) | 0.0001, 0.01, 0.05, 0.1 | Unadjusted |
(False Positive Rate) | Â | for unadjusted p-values | Â |
False Discovery Rate | \(\frac {\text {N false positives}} {\text {N significant genes}}\) | 0.01, 0.05, 0.1 | FDR Adjusted |
Power (Recall) | \(\frac {\text {N true positives}} {\text {N Differntially Expressed Genes}}\) | 0.01, 0.05, 0.1 | FDR Adjusted |