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Fig. 6 | Genome Biology

Fig. 6

From: scIBD: a self-supervised iterative-optimizing model for boosting the detection of heterotypic doublets in single-cell chromatin accessibility data

Fig. 6

Performance evaluation on the rigorously quality-controlled semi-synthetic datasets of Islets and PBMC. a The AUROC and AUPRC comparison of scIBD and the baseline methods on the rigorously quality-controlled datasets of Islet1, Islet2, and PBMC, where the ground-truth singlets were strictly selected. b The performance evaluation on the read-down-sampled Islet1 and PBMC datasets. The reads of Islet1 dataset were down-sampled with a ratio ranging from 0.1 to 0.4 with an interval of 0.1; and the reads of PBMC dataset were down-sampled with a ratio ranging from 0.1 to 0.5 with an interval of 0.2. The AUROC (solid lines) and the AUPRC (dotted lines) show the trend of performance with the decrease in sequencing depth

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