Fig. 3

Performance comparison of SampleQC , scater, and miQC on simulated data. Results from a simulated experiment of 100k cells with 3 QC cell types. A Precision-recall curve of identification of “good” cells. Solid lines show curve calculated over all cells. Transparent lines show curves for individual samples. Dots show default exclusion thresholds for each method (\(< 1\%\) Chi-squared likelihood under fitted model for SampleQC; \(> 2.5\) MADs for scater; \(> 0.75\) posterior probability of compromised cell for miQC). B Bias in number of cells reported by sample, samples split by whether one or multiple QC cell types present in the sample (i.e., whether samples is uni- or multimodal). y-axis is bias in reporting of good cells