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regulatory-variant scoring

This paper-specific evaluation tests regulatory-variant scoring using Yoruban LCL dsQTLs.

1 evaluations · 1 metric rows

At a glance

Explanatory profile: limited source coverage · Automated source review, 2026-09-16. This does not change the review status of its results.

Data, procedure and scoring
PropertyDescription and evidence
Record typePaper-specific task; protocol incompletely extractedShort-Context Regulatory DNA Language Models with Motif-Discovery Regularization · Table 1, Yoruban LCL dsQTLs section, ARSENAL+ChromBPNet row, AUROC column
InputsYoruban LCL dsQTLsShort-Context Regulatory DNA Language Models with Motif-Discovery Regularization · Table 1, Yoruban LCL dsQTLs section, ARSENAL+ChromBPNet row, AUROC column
AssessmentAUROCShort-Context Regulatory DNA Language Models with Motif-Discovery Regularization · Table 1, Yoruban LCL dsQTLs section, ARSENAL+ChromBPNet row, AUROC column
Recorded split or evaluation settingUnextractedShort-Context Regulatory DNA Language Models with Motif-Discovery Regularization · Table 1, Yoruban LCL dsQTLs section, ARSENAL+ChromBPNet row, AUROC column
DatasetsNot extracted or verified for this record.
OrganismsNot extracted or verified for this record.
AssaysNot extracted or verified for this record.
AdaptationNot extracted or verified for this record.
BaselinesNot extracted or verified for this record.

How it works

Reported evaluation outline

Outline of the existing paper extraction. Split membership, fitting details and scorer implementation remain incompletely reviewed.

Reported evaluation outlineYoruban LCL dsQTLs. Then: Recorded fitting or scoring procedure. Then: Assess AUROCYoruban LCL dsQTLsRecorded fitting or scoringprocedureAssess AUROC
Read the diagram as text
  1. Yoruban LCL dsQTLs
  2. Recorded fitting or scoring procedure
  3. Assess AUROC
Short-Context Regulatory DNA Language Models with Motif-Discovery Regularization · Table 1, Yoruban LCL dsQTLs section, ARSENAL+ChromBPNet row, AUROC column

Evaluation context

The existing paper extraction describes: Supervised ChromBPNet variant scoring with ARSENAL motif-discovery regularization. This description is retained with the exact evaluation records; it is not a new protocol reconstruction.

Short-Context Regulatory DNA Language Models with Motif-Discovery Regularization · Table 1, Yoruban LCL dsQTLs section, ARSENAL+ChromBPNet row, AUROC column

Tested models and 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.

Strengths and limitations

Profile review details

Catalogue extraction inspected; protocol claims remain limited to the cited evidence. Missing details are not presumed absent from the original paper.

Stable record: reported-task-b9199a30a0bcb2

Sources and history

Release 2026-09-16-d74d282221a9 · Record review: needs review

Download this release
Technical metadata and extraction receipts

Stable ID: reported-task-b9199a30a0bcb2

areas
dna-genomes
tasks
regulatory-variant scoring
entity level
task
version
Not reported
task
regulatory-variant scoring
scope note
Paper-specific evaluation task; protocol completeness requires further extraction.
missing metadata
protocol version: not_reported_in_legacy_extract; split: not_reported_in_legacy_extract
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