result · source checked
0.965 AUC
DNABERT2-Enhancer · AUC · Liu training dataset
- Tested model
- DNABERT2-Enhancer
- Task or benchmark
- enhancer recognition
- Dataset
- Liu training dataset
- Procedure
- first-layer enhancer versus non-enhancer classifier
- Evaluation
- DNABERT2-Enhancer: enhancer recognition
- Evidence
- Author-reported evaluation · source checkedUtilizing a deep learning model based on BERT for identifying enhancers and their strength · Table 4, first-layer DNABERT2-Enhancer row, AUC column
A source-checked result verifies the numerical transcription, not every model or protocol detail. Evaluation metadata: needs review. Source checked does not mean independently reproduced.
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: source checked
- 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: b2-dnabert2-enhancer-2025
- areas
- dna-genomes
- tasks
- enhancer recognition
- printed value
- 0.965
- numeric value
- 0.965
- metric
- AUC
- metric direction
- unknown
- unit
- fraction
- uncertainty
- Not reported
- source locator
- Table 4, first-layer DNABERT2-Enhancer row, AUC column
- review
- method: independent_ai_table_review; reviewer: Codex secondary table review; reviewed at: 2026-09-16T10:38:57.558204+00:00; notes: Resolved the first-layer row group. DNABERT2-Enhancer AUC is 0.965, whereas second-layer AUC is 0.933. The caption explicitly describes 5-fold cross-validation on Liu training data, not an independent held-out test.; evidence: Original PMC XML table headers, row groups and caption inspected; printed value 0.965.; artifact sha256: d052b80efe7bfc1380994ad28503a5575f04ef940f74d5c9c137cb4ba6827863; retrieval url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC11981215/fullTextXML
- legacy id
- b2-dnabert2-enhancer-2025
- legacy row
- id: b2-dnabert2-enhancer-2025; paper id: dnabert2-enhancer-2025; domain id: dna-genomes; task: enhancer recognition; model: DNABERT2-Enhancer; model version: not stated in table; dataset: Liu training dataset; dataset version: Not reported; split: 5-fold cross-validation; metric: AUC; value: 0.965; unit: fraction; uncertainty: Not reported; protocol: first-layer enhancer versus non-enhancer classifier; source locator: Table 4, first-layer DNABERT2-Enhancer row, AUC column; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC11981215/; evaluation origin: author_reported; reviewed utc: 2026-09-15T23:33:26Z
- missing metadata
- dataset version: not_reported_in_legacy_extract; uncertainty: not_reported_in_legacy_extract
Related records
- evaluation: DNABERT2-Enhancer: enhancer recognition
- subject: Reported AUC for DNABERT2-Enhancer