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1 evaluation · 1 result. Different protocols are not a single leaderboard.
Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: GPN (human), Self-supervised pre-training (Tang et al. 2025) | Protocol: CAGI5 saturation MPRA variant effect correlation, K562 (Tang et al. 2025 Table 1) Dataset: CAGI5 saturation mutagenesis MPRA, four CREs (as used by Tang et al. 2025) | 0.037 pearson-correlation unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceGPN (human) (Self-supervised pre-training) on CAGI5 K562 regulatory-variant-20261009-protocol-tang2025-cagi5-k562 Aggregation: Not reported Evaluating the representational power of pre-trained DNA language models for regulatory genomics · Table 1 row 'Self-supervised pre-training' / 'GPN (human)', column 'K562' |
Source checking is not independent reproduction. Release 2026-10-10-6e93f504adfc.
regulatory-variant-20261009-protocol-tang2025-cagi5-k562
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18 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.comparison.adaptation Zero-shot: cosine similarity of embeddings for mutant and wild-type sequence (NT, HyenaDNA) or log2 ratio of masked-nucleotide predictions (GPN) Context-only references | Evaluating the representational power of pre-trained DNA language models for regulatory genomics Table 1 row 'Self-supervised pre-training' / 'GPN (human)', column 'K562' Version: Genome Biology 26:203, published 2025-07-14; PMC12261763 full-text XML | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.aggregation Single CRE Context-only references | Evaluating the representational power of pre-trained DNA language models for regulatory genomics Table 1 row 'Self-supervised pre-training' / 'GPN (human)', column 'K562' Version: Genome Biology 26:203, published 2025-07-14; PMC12261763 full-text XML | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.budget Not reported Context-only references | Evaluating the representational power of pre-trained DNA language models for regulatory genomics Table 1 row 'Self-supervised pre-training' / 'GPN (human)', column 'K562' Version: Genome Biology 26:203, published 2025-07-14; PMC12261763 full-text XML | missing or unspecified No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.dataset_version CAGI5 regulation challenge data Context-only references | Evaluating the representational power of pre-trained DNA language models for regulatory genomics Table 1 row 'Self-supervised pre-training' / 'GPN (human)', column 'K562' Version: Genome Biology 26:203, published 2025-07-14; PMC12261763 full-text XML | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.inputs 230 nt sequence centred on the CRE Context-only references | Evaluating the representational power of pre-trained DNA language models for regulatory genomics Table 1 row 'Self-supervised pre-training' / 'GPN (human)', column 'K562' Version: Genome Biology 26:203, published 2025-07-14; PMC12261763 full-text XML | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.metric_implementation Pearson correlation per experiment Context-only references | Evaluating the representational power of pre-trained DNA language models for regulatory genomics Table 1 row 'Self-supervised pre-training' / 'GPN (human)', column 'K562' Version: Genome Biology 26:203, published 2025-07-14; PMC12261763 full-text XML | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.population PKLR (K562) Context-only references | Evaluating the representational power of pre-trained DNA language models for regulatory genomics Table 1 row 'Self-supervised pre-training' / 'GPN (human)', column 'K562' Version: Genome Biology 26:203, published 2025-07-14; PMC12261763 full-text XML | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.protocol_id regulatory-variant-20261009-protocol-tang2025-cagi5-k562 Context-only references | Evaluating the representational power of pre-trained DNA language models for regulatory genomics Table 1 row 'Self-supervised pre-training' / 'GPN (human)', column 'K562' Version: Genome Biology 26:203, published 2025-07-14; PMC12261763 full-text XML | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.split Zero-shot test Context-only references | Evaluating the representational power of pre-trained DNA language models for regulatory genomics Table 1 row 'Self-supervised pre-training' / 'GPN (human)', column 'K562' Version: Genome Biology 26:203, published 2025-07-14; PMC12261763 full-text XML | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.origin independent_paper Context-only references | Evaluating the representational power of pre-trained DNA language models for regulatory genomics Table 1 row 'Self-supervised pre-training' / 'GPN (human)', column 'K562' Version: Genome Biology 26:203, published 2025-07-14; PMC12261763 full-text XML | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
Release 2026-10-10-6e93f504adfc · Record review: source checked
Stable ID: regulatory-variant-20261009-eval-tang2025-k562-self-supervised-pre-training-gpn-human