evaluation · needs review
DNABERT2-Enhancer: enhancer recognition
Evaluation procedure
first-layer enhancer versus non-enhancer classifier
- Model
- DNABERT2-Enhancer
- Benchmark
- enhancer recognition
- Dataset
- Liu training dataset
- origin
- Author-reported evaluation
- configuration
- not stated in table
- protocol id
- Not reported
- dataset version
- Not reported
- split
- 5-fold cross-validation
- population
- Not reported
- inputs
- Not reported
- adaptation
- Not reported
- metric implementation
- Not reported
- aggregation
- Not reported
- budget
- Not reported
Metadata review: needs review. Unreported conditions prevent automatic comparisons.
Evaluation results
Release 2026-09-16-d74d282221a9 · 1 evaluation · 1 metric row. Different protocols are not a single leaderboard.
| Metric and finding | Coverage and uncertainty | Evidence |
|---|---|---|
| DNABERT2-Enhancer: enhancer recognition first-layer enhancer versus non-enhancer classifier Author-reported evaluation · Evaluation metadata: needs review | ||
| 0.965 AUC Unit: fraction · Direction: unknown | Uncertainty: not reported in legacy extract Scored: Not reported · Eligible: Not reported | source checkedUtilizing a deep learning model based on BERT for identifying enhancers and their strength · Table 4, first-layer DNABERT2-Enhancer row, AUC column Source checking is not independent reproduction. |
Sources and history
Release 2026-09-16-d74d282221a9 · Record review: needs review
- Utilizing a deep learning model based on BERT for identifying enhancers and their strength · Original source · journal full text in PMC
Technical metadata and extraction receipts
Stable ID: evaluation-b2-dnabert2-enhancer-2025
- areas
- dna-genomes
- tasks
- enhancer recognition
- origin
- author_reported
- protocol
- first-layer enhancer versus non-enhancer classifier
- version
- not stated in table
- comparison
- protocol id: Not reported; dataset version: Not reported; split: 5-fold cross-validation; population: Not reported; inputs: Not reported; adaptation: Not reported; metric implementation: Not reported; aggregation: Not reported; budget: Not reported
- missing metadata
- dataset version: not_reported_in_legacy_extract
Related records
- model: DNABERT2-Enhancer
- benchmark: enhancer recognition
- dataset: Liu training dataset
- evaluation: DNABERT2-Enhancer · AUC · Liu training dataset