Paper-reportedAuthor's model
DEBFold
RNA secondary structure
- Reported score
- 55.7%
- Metric
- Median F1
- Dataset / split
- DEBFold TestSetβ
Median F1 on the prepared TestSetβ.
Table 1, DEBFold row, TestSetβ F1 (%) columnVerify at source →
Paper-reported evidence
DEBFold: Computational Identification of RNA Secondary Structures for Sequences across Structural Families Using Deep Learning
2024 · Peer-reviewed · PMC11094721.1
Paper-reported results. The values below come from this source, not an independent rewire.it run.
Open primary paper →DOI: 10.1021/acs.jcim.4c00458
Primary full text via Europe PMC XML; venue: Journal of Chemical Information and Modeling; PMC ID: PMC11094721.
2 verified numerical rows · source checked 2026-09-15
Paper-reportedIndependent paper evaluation
RNAfold
RNA secondary structure
- Reported score
- 52.3%
- Metric
- Median F1
- Dataset / split
- DEBFold TestSetβ
Median F1 on the prepared TestSetβ.
Table 1, RNAfold row, TestSetβ F1 (%) columnVerify at source →