Table 1 Benchmarked statistical models to estimate measurement error in fitness scores
Error model type | Based on | Additional input? | Information sharing across variants? | Model parameters |
|---|---|---|---|---|
Variance-based | Empirical variance of replicate fitness | No | No | 0 |
Bayesian regularization of variance [51] | Empirical variance of replicate fitness | Yes: Bayesian prior to regression on seq. counts | Yes: prior estimated across all variants | 3 |
Count-based | Sequencing counts follow Poisson distribution | No | No | 0 |
Enrich2 [36] | Sequencing counts follow Poisson distribution | Yes: mixed-effects from empirical variance | No | # variants |
DiMSum | Sequencing counts follow Poisson distribution | Yes: modifier terms from empirical variance | Yes: replicate-specific modifier terms estimated across all variants | 3 × # replicates |