Fig. 3: Performance at different sequencing coverages using ONT HCC1395. | Nature Communications

Fig. 3: Performance at different sequencing coverages using ONT HCC1395.

From: ClairS-TO: a deep-learning method for long-read tumor-only somatic small variant calling

Fig. 3: Performance at different sequencing coverages using ONT HCC1395.The alternative text for this image may have been generated using AI.

a Precision-Recall curves at 25-, 50-, and 75-fold tumor coverages of ONT HCC1395. The dot on each dashed line indicates where the best F1-score was achieved. The area under the Precision-Recall curve (AUPRC) is shown in parentheses in the legend. DeepSomatic was excluded from benchmarking with the HCC1395 WGS dataset because the sample was included in its model training. b The performance of the best achievable F1-score, along with the corresponding precision and recall, at 25-, 50-, and 75-fold tumor coverages of ONT HCC1395. Source data are provided as a Source data file.

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