From: Improving protein domain classification for third-generation sequencing reads using deep learning
Proportion | Method | PacBio | Nanopore | ||||
---|---|---|---|---|---|---|---|
Recall | Precision | F1-score | Recall | Precision | F1-score | ||
1% GPCR | HMMER | 0.1403 | 0.9574 | 0.2446 | 0.3902 | 0.9876 | 0.5593 |
ProDOMA | 0.4581 | 0.9872 | 0.6258 | 0.4727 | 0.9796 | 0.6376 | |
5% GPCR | HMMER | 0.1537 | 0.9411 | 0.2642 | 0.4015 | 0.9754 | 0.5513 |
ProDOMA | 0.4712 | 0.9921 | 0.6389 | 0.4615 | 0.9872 | 0.6289 | |
10% GPCR | HMMER | 0.1491 | 0.9513 | 0.2577 | 0.3988 | 0.9917 | 0.5688 |
ProDOMA | 0.4473 | 0.9842 | 0.6150 | 0.4886 | 0.9843 | 0.6529 | |
50% GPCR | HMMER | 0.1494 | 0.9507 | 0.2583 | 0.3984 | 0.9825 | 0.5670 |
ProDOMA | 0.4479 | 0.9837 | 0.6154 | 0.4836 | 0.9731 | 0.6458 |