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Fig. 1 | BMC Bioinformatics

Fig. 1

From: SVcnn: an accurate deep learning-based method for detecting structural variation based on long-read data

Fig. 1

The figure shows the recall, precision, and F1-score of different SV callers using three ONT datasets for HG002, CHM13 and HG00733. a The recall of DELs in three datasets. b The recall of INSs in three datasets. c The precision of DELs in three datasets. d The precision of INSs in three datasets. e The F1-score of DELs in three datasets. f The F1-score of INSs in three datasets. From the histogram, we can clearly see that SVcnn achieved the best results in F1-score

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