EpiMap (Gschwind et al. 2026)
EpiMap (Gschwind et al. 2026) as evaluated in the cited comparison.
Overview
EpiMap (Gschwind et al. 2026) as evaluated in the cited comparison.
Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.
Evaluations and results
2 evaluations · 6 results. Different protocols are not a single leaderboard.
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Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: EpiMap (Gschwind et al. 2026) | Protocol: Held-out CRISPR enhancer-gene benchmark, weighted metrics, five cell types (Gschwind et al. 2026 Supplementary Table 3) Dataset: Held-out CRISPR enhancer-gene pairs in five cell types (Gschwind et al. 2026) | 0.268 auprc fraction · higher Uncertainty: 95% CI 0.202767496369732 to 0.342972872868445 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceEpiMap on held-out CRISPR pairs, five cell types regulatory-variant-20261009-protocol-gschwind2026-heldout-weighted Aggregation: Not reported An encyclopedia of human enhancer-gene regulatory interactions; Gschwind et al. 2026, Supplementary Table 3 · Supplementary Table 3 'Held-out benchmarks', row 5 (D5:F5); Dataset 'Held-out', Predictor 'EpiMap', metric 'Weighted AUPRC' |
| Configuration: EpiMap (Gschwind et al. 2026) | Protocol: Held-out CRISPR enhancer-gene benchmark, weighted metrics, five cell types (Gschwind et al. 2026 Supplementary Table 3) Dataset: Held-out CRISPR enhancer-gene pairs in five cell types (Gschwind et al. 2026) | 0.292 precision fraction · higher Uncertainty: 95% CI 0.244244656893669 to 0.342593944957384 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceEpiMap on held-out CRISPR pairs, five cell types regulatory-variant-20261009-protocol-gschwind2026-heldout-weighted Aggregation: Not reported An encyclopedia of human enhancer-gene regulatory interactions; Gschwind et al. 2026, Supplementary Table 3 · Supplementary Table 3 'Held-out benchmarks', row 11 (D11:F11); Dataset 'Held-out', Predictor 'EpiMap', metric 'Weighted precision at threshold' |
| Configuration: EpiMap (Gschwind et al. 2026) | Protocol: Held-out CRISPR enhancer-gene benchmark, weighted metrics, five cell types (Gschwind et al. 2026 Supplementary Table 3) Dataset: Held-out CRISPR enhancer-gene pairs in five cell types (Gschwind et al. 2026) | 0.545 recall fraction · higher Uncertainty: 95% CI 0.471122984227133 to 0.616597040982763 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceEpiMap on held-out CRISPR pairs, five cell types regulatory-variant-20261009-protocol-gschwind2026-heldout-weighted Aggregation: Not reported An encyclopedia of human enhancer-gene regulatory interactions; Gschwind et al. 2026, Supplementary Table 3 · Supplementary Table 3 'Held-out benchmarks', row 17 (D17:F17); Dataset 'Held-out', Predictor 'EpiMap', metric 'Weighted recall at threshold' |
| Configuration: EpiMap (Gschwind et al. 2026) | Protocol: Combined K562 CRISPR training pairs, weighted metrics (Gschwind et al. 2026 Supplementary Table 3) Dataset: MPRabc K562 CRISPRi benchmark | 0.311 auprc fraction · higher Uncertainty: 95% CI 0.261110315175289 to 0.361017256946356 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceEpiMap on combined K562 CRISPR training pairs regulatory-variant-20261009-protocol-gschwind2026-k562-training-weighted Aggregation: Not reported An encyclopedia of human enhancer-gene regulatory interactions; Gschwind et al. 2026, Supplementary Table 3 · Supplementary Table 3 'Held-out benchmarks', row 23 (D23:F23); Dataset 'Combined K562 (training)', Predictor 'EpiMap', metric 'Weighted AUPRC' |
| Configuration: EpiMap (Gschwind et al. 2026) | Protocol: Combined K562 CRISPR training pairs, weighted metrics (Gschwind et al. 2026 Supplementary Table 3) Dataset: MPRabc K562 CRISPRi benchmark | 0.187 precision fraction · higher Uncertainty: 95% CI 0.166855358972052 to 0.2065905167216 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceEpiMap on combined K562 CRISPR training pairs regulatory-variant-20261009-protocol-gschwind2026-k562-training-weighted Aggregation: Not reported An encyclopedia of human enhancer-gene regulatory interactions; Gschwind et al. 2026, Supplementary Table 3 · Supplementary Table 3 'Held-out benchmarks', row 29 (D29:F29); Dataset 'Combined K562 (training)', Predictor 'EpiMap', metric 'Weighted precision at threshold' |
| Configuration: EpiMap (Gschwind et al. 2026) | Protocol: Combined K562 CRISPR training pairs, weighted metrics (Gschwind et al. 2026 Supplementary Table 3) Dataset: MPRabc K562 CRISPRi benchmark | 0.714 recall fraction · higher Uncertainty: 95% CI 0.669049563420841 to 0.757391291403457 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceEpiMap on combined K562 CRISPR training pairs regulatory-variant-20261009-protocol-gschwind2026-k562-training-weighted Aggregation: Not reported An encyclopedia of human enhancer-gene regulatory interactions; Gschwind et al. 2026, Supplementary Table 3 · Supplementary Table 3 'Held-out benchmarks', row 35 (D35:F35); Dataset 'Combined K562 (training)', Predictor 'EpiMap', metric 'Weighted recall at threshold' |
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Evidence
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Sources and history
Release 2026-10-10-6e93f504adfc · Record review: source checked
2 source records and release history
- An encyclopedia of human enhancer-gene regulatory interactions · Original source · Nature 657(8130):179, published online 2026-07-15; PMC13471189 full-text XML
- Gschwind et al. 2026, Supplementary Table 3 · Original source · Supplementary_Table_3.xlsx in 41586_2026_10781_MOESM3_ESM.zip (folder 2023-11-20318B-s3) inside the Europe PMC supplementaryFiles zip
Technical metadata and extraction receipts
Stable ID: regulatory-variant-20261009-config-gschwind2026-epimap
- areas
- dna-genomes
- contexts
- research
- method types
- supervised_machine_learning
- reported name
- EpiMap (Gschwind et al. 2026)
- foundation model eligible
- false
- missing metadata
- version: reason: unreported; note: Predictor version not printed in Supplementary Table 3; parameters are in Supplementary Table 1 (not read)
- source locator
- Supplementary Table 3 'Held-out benchmarks', predictor 'EpiMap'