Bayesian modelling of high-throughput sequencing assays with malacoda
Fig 3
A) The figure compares the TS values used to generate simulated data to TS estimates. Simulated MPRA assays use a varying fraction of variants that are truly non-functional (center). B) The average ROC curves used to assess the classification performance of each method across simulations with 3000 variants, 5% truly functional variants, and 10 barcodes per allele. The methods shown are malacoda (red), MPRAnalyze (orange), mpralm (green), QuASAR-MPRA (pink), MPRAscore (blue), and the t-test (purple) C) The average precision-recall curve for the same set of simulations D) Median performance metrics across multiple simulations under the same conditions as B.