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evaluation · needs review

ARSENAL+ChromBPNet: regulatory-variant scoring

Evaluation procedure

Supervised ChromBPNet variant scoring with ARSENAL motif-discovery regularization

Model
ARSENAL+ChromBPNet
Benchmark
regulatory-variant scoring
Dataset
Yoruban LCL dsQTLs
origin
Author-reported evaluation
configuration
Not reported
protocol id
Not reported
dataset version
Not reported
split
Not reported
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
ARSENAL+ChromBPNet: regulatory-variant scoring

Supervised ChromBPNet variant scoring with ARSENAL motif-discovery regularization

Author-reported evaluation · Evaluation metadata: needs review

0.896 AUROC

Unit: fraction · Direction: unknown

Uncertainty: ±0.016

Scored: Not reported · Eligible: Not reported

source checkedShort-Context Regulatory DNA Language Models with Motif-Discovery Regularization · Table 1, Yoruban LCL dsQTLs section, ARSENAL+ChromBPNet row, AUROC 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-lit-b4-001

areas
dna-genomes
tasks
regulatory-variant scoring
origin
author_reported
protocol
Supervised ChromBPNet variant scoring with ARSENAL motif-discovery regularization
version
Not reported
comparison
protocol id: Not reported; dataset version: Not reported; split: Not reported; population: Not reported; inputs: Not reported; adaptation: Not reported; metric implementation: Not reported; aggregation: Not reported; budget: Not reported
missing metadata
model version: not_reported_in_legacy_extract; dataset version: not_reported_in_legacy_extract; split: not_reported_in_legacy_extract
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