This paper-specific evaluation tests enhancer prediction using human enhancer dataset.
Explanatory profile: limited source coverage · Automated source review, 2026-09-16. This does not change the review status of its results.
| Property | Description and evidence |
|---|---|
| Record type | Paper-specific task; protocol incompletely extractedA deep learning model for DNA enhancer prediction based on nucleotide position aware feature encoding · Table 2, Human section, CNN row, AUC column |
| Inputs | human enhancer datasetA deep learning model for DNA enhancer prediction based on nucleotide position aware feature encoding · Table 2, Human section, CNN row, AUC column |
| Assessment | AUROCA deep learning model for DNA enhancer prediction based on nucleotide position aware feature encoding · Table 2, Human section, CNN row, AUC column |
| Recorded split or evaluation setting | UnextractedA deep learning model for DNA enhancer prediction based on nucleotide position aware feature encoding · Table 2, Human section, CNN row, AUC column |
| Datasets | Not extracted or verified for this record. |
| Organisms | Not extracted or verified for this record. |
| Assays | Not extracted or verified for this record. |
| Adaptation | Not extracted or verified for this record. |
| Baselines | Not extracted or verified for this record. |
Outline of the existing paper extraction. Split membership, fitting details and scorer implementation remain incompletely reviewed.
The existing paper extraction describes: Nucleotide position-aware feature encoding; average assessment of CNN classifier. This description is retained with the exact evaluation records; it is not a new protocol reconstruction.
A deep learning model for DNA enhancer prediction based on nucleotide position aware feature encoding · Table 2, Human section, CNN row, AUC columnRelease 2026-09-16-d74d282221a9 · 1 evaluation · 1 metric row. Different protocols are not a single leaderboard.
| Metric and finding | Coverage and uncertainty | Evidence |
|---|---|---|
| position-aware CNN: enhancer prediction Nucleotide position-aware feature encoding; average assessment of CNN classifier Author-reported evaluation · Evaluation metadata: needs review | ||
| 0.94 AUROC Unit: fraction · Direction: unknown | Uncertainty: not reported in legacy extract Scored: Not reported · Eligible: Not reported | source checkedA deep learning model for DNA enhancer prediction based on nucleotide position aware feature encoding · Table 2, Human section, CNN row, AUC column Source checking is not independent reproduction. |
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-64607443a9ba15Release 2026-09-16-d74d282221a9 · Record review: needs review
Stable ID: reported-task-64607443a9ba15