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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.

Results grouped by the exact reported evaluation
Metric and findingCoverage and uncertaintyEvidence
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

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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
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