15 evaluations · 60 results. Different protocols are not a single leaderboard.
Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: ProkBERT-mini | Protocol: E. coli sigma70 independent promoter test (E. coli sigma70 promoter prediction) Dataset: E. coli sigma70 promoter dataset | 0.87 Accuracy unitless · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceProkBERT-mini: E. coli sigma70 promoter prediction Test-only evaluation on Cassiano and Silva-Rocha 2020 data; methods have different training histories. 865 high-evidence RegulonDB 10.5 promoters and 1,000 nucleotide-distribution-matched negative sequences. Promoter exact matches removed from model training. Aggregation: Not reported ProkBERT family: genomic language models for microbiome applications; ProkBERT family: genomic language models for microbiome applications · Table 3, ProkBERT-mini row, Accuracy column |
| Configuration: Promotech | Protocol: E. coli sigma70 independent promoter test (E. coli sigma70 promoter prediction) Dataset: E. coli sigma70 promoter dataset | 0.71 Accuracy unitless · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourcePromotech: E. coli sigma70 promoter prediction Test-only evaluation on Cassiano and Silva-Rocha 2020 data; methods have different training histories. 865 high-evidence RegulonDB 10.5 promoters and 1,000 nucleotide-distribution-matched negative sequences. Promoter exact matches removed from model training. Aggregation: Not reported ProkBERT family: genomic language models for microbiome applications; ProkBERT family: genomic language models for microbiome applications · Table 3, Promotech row, Accuracy column |
| Configuration: Sigma70Pred | Protocol: E. coli sigma70 independent promoter test (E. coli sigma70 promoter prediction) Dataset: E. coli sigma70 promoter dataset | 0.66 Accuracy unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceSigma70Pred: E. coli sigma70 independent promoter test Test-only evaluation on Cassiano and Silva-Rocha 2020 data; methods have different training histories. 865 high-evidence RegulonDB 10.5 promoters and 1,000 nucleotide-distribution-matched negative sequences. Promoter exact matches removed from model training. Aggregation: Not reported ProkBERT family: genomic language models for microbiome applications · Table 3, row Sigma70Pred, column Accuracy; XML row14 column2 |
| Configuration: ProkBERT-mini-long | Protocol: E. coli sigma70 independent promoter test (E. coli sigma70 promoter prediction) Dataset: E. coli sigma70 promoter dataset | 0.89 Recall fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceProkBERT-mini-long: E. coli sigma70 independent promoter test Test-only evaluation on Cassiano and Silva-Rocha 2020 data; methods have different training histories. 865 high-evidence RegulonDB 10.5 promoters and 1,000 nucleotide-distribution-matched negative sequences. Promoter exact matches removed from model training. Aggregation: Not reported ProkBERT family: genomic language models for microbiome applications · Table 3, row ProkBERT-mini-long, column Sensitivity; XML row4 column4 |
| Configuration: Promotech | Protocol: E. coli sigma70 independent promoter test (E. coli sigma70 promoter prediction) Dataset: E. coli sigma70 promoter dataset | 0.49 Recall fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourcePromotech: E. coli sigma70 promoter prediction Test-only evaluation on Cassiano and Silva-Rocha 2020 data; methods have different training histories. 865 high-evidence RegulonDB 10.5 promoters and 1,000 nucleotide-distribution-matched negative sequences. Promoter exact matches removed from model training. Aggregation: Not reported ProkBERT family: genomic language models for microbiome applications · Table 3, row Promotech, column Sensitivity; XML row13 column4 |
| Configuration: CNNProm | Protocol: E. coli sigma70 independent promoter test (E. coli sigma70 promoter prediction) Dataset: E. coli sigma70 promoter dataset | 0.51 Specificity fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Result quoted from another source · Source checkedMethods, coverage and sourceCNNProm: E. coli sigma70 independent promoter test Test-only evaluation on Cassiano and Silva-Rocha 2020 data; methods have different training histories. 865 high-evidence RegulonDB 10.5 promoters and 1,000 nucleotide-distribution-matched negative sequences. Promoter exact matches removed from model training. Aggregation: Not reported ProkBERT family: genomic language models for microbiome applications · Table 3, row CNNProm, column Specificity; XML row5 column5 |
| Configuration: iPromoter-2L | Protocol: E. coli sigma70 independent promoter test (E. coli sigma70 promoter prediction) Dataset: E. coli sigma70 promoter dataset | 0.64 Accuracy unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Result quoted from another source · Source checkedMethods, coverage and sourceiPromoter-2L: E. coli sigma70 independent promoter test Test-only evaluation on Cassiano and Silva-Rocha 2020 data; methods have different training histories. 865 high-evidence RegulonDB 10.5 promoters and 1,000 nucleotide-distribution-matched negative sequences. Promoter exact matches removed from model training. Aggregation: Not reported ProkBERT family: genomic language models for microbiome applications · Table 3, row iPromoter-2L, column Accuracy; XML row8 column2 |
| Configuration: 70ProPred | Protocol: E. coli sigma70 independent promoter test (E. coli sigma70 promoter prediction) Dataset: E. coli sigma70 promoter dataset | 0.74 Accuracy unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Result quoted from another source · Source checkedMethods, coverage and source70ProPred: E. coli sigma70 independent promoter test Test-only evaluation on Cassiano and Silva-Rocha 2020 data; methods have different training histories. 865 high-evidence RegulonDB 10.5 promoters and 1,000 nucleotide-distribution-matched negative sequences. Promoter exact matches removed from model training. Aggregation: Not reported ProkBERT family: genomic language models for microbiome applications · Table 3, row 70ProPred, column Accuracy; XML row7 column2 |
| Configuration: bTSSfinder | Protocol: E. coli sigma70 independent promoter test (E. coli sigma70 promoter prediction) Dataset: E. coli sigma70 promoter dataset | 0.46 Accuracy unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Result quoted from another source · Source checkedMethods, coverage and sourcebTSSfinder: E. coli sigma70 independent promoter test Test-only evaluation on Cassiano and Silva-Rocha 2020 data; methods have different training histories. 865 high-evidence RegulonDB 10.5 promoters and 1,000 nucleotide-distribution-matched negative sequences. Promoter exact matches removed from model training. Aggregation: Not reported ProkBERT family: genomic language models for microbiome applications · Table 3, row bTSSfinder, column Accuracy; XML row10 column2 |
| Configuration: BPROM | Protocol: E. coli sigma70 independent promoter test (E. coli sigma70 promoter prediction) Dataset: E. coli sigma70 promoter dataset | 0.1 MCC unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Result quoted from another source · Source checkedMethods, coverage and sourceBPROM: E. coli sigma70 independent promoter test Test-only evaluation on Cassiano and Silva-Rocha 2020 data; methods have different training histories. 865 high-evidence RegulonDB 10.5 promoters and 1,000 nucleotide-distribution-matched negative sequences. Promoter exact matches removed from model training. Aggregation: Not reported ProkBERT family: genomic language models for microbiome applications · Table 3, row BPROM, column MCC; XML row11 column3 |
| Configuration: ProkBERT-mini | Protocol: E. coli sigma70 independent promoter test (E. coli sigma70 promoter prediction) Dataset: E. coli sigma70 promoter dataset | 0.9 Recall fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceProkBERT-mini: E. coli sigma70 promoter prediction Test-only evaluation on Cassiano and Silva-Rocha 2020 data; methods have different training histories. 865 high-evidence RegulonDB 10.5 promoters and 1,000 nucleotide-distribution-matched negative sequences. Promoter exact matches removed from model training. Aggregation: Not reported ProkBERT family: genomic language models for microbiome applications · Table 3, row ProkBERT-mini, column Sensitivity; XML row2 column4 |
| Configuration: iPromoter-BnCNN | Protocol: E. coli sigma70 independent promoter test (E. coli sigma70 promoter prediction) Dataset: E. coli sigma70 promoter dataset | 0.18 Specificity fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceiPromoter-BnCNN: E. coli sigma70 independent promoter test Test-only evaluation on Cassiano and Silva-Rocha 2020 data; methods have different training histories. 865 high-evidence RegulonDB 10.5 promoters and 1,000 nucleotide-distribution-matched negative sequences. Promoter exact matches removed from model training. Aggregation: Not reported ProkBERT family: genomic language models for microbiome applications · Table 3, row iPromoter-BnCNN, column Specificity; XML row15 column5 |
| Configuration: IBPP | Protocol: E. coli sigma70 independent promoter test (E. coli sigma70 promoter prediction) Dataset: E. coli sigma70 promoter dataset | -0.03 MCC unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Result quoted from another source · Source checkedMethods, coverage and sourceIBPP: E. coli sigma70 independent promoter test Test-only evaluation on Cassiano and Silva-Rocha 2020 data; methods have different training histories. 865 high-evidence RegulonDB 10.5 promoters and 1,000 nucleotide-distribution-matched negative sequences. Promoter exact matches removed from model training. Aggregation: Not reported ProkBERT family: genomic language models for microbiome applications · Table 3, row IBPP, column MCC; XML row12 column3 |
| Configuration: ProkBERT-mini | Protocol: E. coli sigma70 independent promoter test (E. coli sigma70 promoter prediction) Dataset: E. coli sigma70 promoter dataset | 0.85 Specificity fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceProkBERT-mini: E. coli sigma70 promoter prediction Test-only evaluation on Cassiano and Silva-Rocha 2020 data; methods have different training histories. 865 high-evidence RegulonDB 10.5 promoters and 1,000 nucleotide-distribution-matched negative sequences. Promoter exact matches removed from model training. Aggregation: Not reported ProkBERT family: genomic language models for microbiome applications · Table 3, row ProkBERT-mini, column Specificity; XML row2 column5 |
| Configuration: iPromoter-2L | Protocol: E. coli sigma70 independent promoter test (E. coli sigma70 promoter prediction) Dataset: E. coli sigma70 promoter dataset | 0.37 MCC unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Result quoted from another source · Source checkedMethods, coverage and sourceiPromoter-2L: E. coli sigma70 independent promoter test Test-only evaluation on Cassiano and Silva-Rocha 2020 data; methods have different training histories. 865 high-evidence RegulonDB 10.5 promoters and 1,000 nucleotide-distribution-matched negative sequences. Promoter exact matches removed from model training. Aggregation: Not reported ProkBERT family: genomic language models for microbiome applications · Table 3, row iPromoter-2L, column MCC; XML row8 column3 |
| Configuration: 70ProPred | Protocol: E. coli sigma70 independent promoter test (E. coli sigma70 promoter prediction) Dataset: E. coli sigma70 promoter dataset | 0.51 MCC unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Result quoted from another source · Source checkedMethods, coverage and source70ProPred: E. coli sigma70 independent promoter test Test-only evaluation on Cassiano and Silva-Rocha 2020 data; methods have different training histories. 865 high-evidence RegulonDB 10.5 promoters and 1,000 nucleotide-distribution-matched negative sequences. Promoter exact matches removed from model training. Aggregation: Not reported ProkBERT family: genomic language models for microbiome applications · Table 3, row 70ProPred, column MCC; XML row7 column3 |
| Configuration: ProkBERT-mini-c | Protocol: E. coli sigma70 independent promoter test (E. coli sigma70 promoter prediction) Dataset: E. coli sigma70 promoter dataset | 0.88 Recall fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceProkBERT-mini-c: E. coli sigma70 independent promoter test Test-only evaluation on Cassiano and Silva-Rocha 2020 data; methods have different training histories. 865 high-evidence RegulonDB 10.5 promoters and 1,000 nucleotide-distribution-matched negative sequences. Promoter exact matches removed from model training. Aggregation: Not reported ProkBERT family: genomic language models for microbiome applications · Table 3, row ProkBERT-mini-c, column Sensitivity; XML row3 column4 |
| Configuration: iPro70-FMWin | Protocol: E. coli sigma70 independent promoter test (E. coli sigma70 promoter prediction) Dataset: E. coli sigma70 promoter dataset | 0.76 Accuracy unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Result quoted from another source · Source checkedMethods, coverage and sourceiPro70-FMWin: E. coli sigma70 independent promoter test Test-only evaluation on Cassiano and Silva-Rocha 2020 data; methods have different training histories. 865 high-evidence RegulonDB 10.5 promoters and 1,000 nucleotide-distribution-matched negative sequences. Promoter exact matches removed from model training. Aggregation: Not reported ProkBERT family: genomic language models for microbiome applications · Table 3, row iPro70-FMWin, column Accuracy; XML row6 column2 |
| Configuration: MULTiPly | Protocol: E. coli sigma70 independent promoter test (E. coli sigma70 promoter prediction) Dataset: E. coli sigma70 promoter dataset | 0.92 Recall fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceMULTiPly: E. coli sigma70 independent promoter test Test-only evaluation on Cassiano and Silva-Rocha 2020 data; methods have different training histories. 865 high-evidence RegulonDB 10.5 promoters and 1,000 nucleotide-distribution-matched negative sequences. Promoter exact matches removed from model training. Aggregation: Not reported ProkBERT family: genomic language models for microbiome applications · Table 3, row MULTiPly, column Sensitivity; XML row16 column4 |
| Configuration: ProkBERT-mini-c | Protocol: E. coli sigma70 independent promoter test (E. coli sigma70 promoter prediction) Dataset: E. coli sigma70 promoter dataset | 0.85 Specificity fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceProkBERT-mini-c: E. coli sigma70 independent promoter test Test-only evaluation on Cassiano and Silva-Rocha 2020 data; methods have different training histories. 865 high-evidence RegulonDB 10.5 promoters and 1,000 nucleotide-distribution-matched negative sequences. Promoter exact matches removed from model training. Aggregation: Not reported ProkBERT family: genomic language models for microbiome applications · Table 3, row ProkBERT-mini-c, column Specificity; XML row3 column5 |
| Configuration: iPromoter-2L | Protocol: E. coli sigma70 independent promoter test (E. coli sigma70 promoter prediction) Dataset: E. coli sigma70 promoter dataset | 0.37 Specificity fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Result quoted from another source · Source checkedMethods, coverage and sourceiPromoter-2L: E. coli sigma70 independent promoter test Test-only evaluation on Cassiano and Silva-Rocha 2020 data; methods have different training histories. 865 high-evidence RegulonDB 10.5 promoters and 1,000 nucleotide-distribution-matched negative sequences. Promoter exact matches removed from model training. Aggregation: Not reported ProkBERT family: genomic language models for microbiome applications · Table 3, row iPromoter-2L, column Specificity; XML row8 column5 |
| Configuration: iPro70-FMWin | Protocol: E. coli sigma70 independent promoter test (E. coli sigma70 promoter prediction) Dataset: E. coli sigma70 promoter dataset | 0.53 MCC unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Result quoted from another source · Source checkedMethods, coverage and sourceiPro70-FMWin: E. coli sigma70 independent promoter test Test-only evaluation on Cassiano and Silva-Rocha 2020 data; methods have different training histories. 865 high-evidence RegulonDB 10.5 promoters and 1,000 nucleotide-distribution-matched negative sequences. Promoter exact matches removed from model training. Aggregation: Not reported ProkBERT family: genomic language models for microbiome applications · Table 3, row iPro70-FMWin, column MCC; XML row6 column3 |
| Configuration: Multiply | Protocol: E. coli sigma70 independent promoter test (E. coli sigma70 promoter prediction) Dataset: E. coli sigma70 promoter dataset | 0.05 MCC unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Result quoted from another source · Source checkedMethods, coverage and sourceMultiply: E. coli sigma70 independent promoter test Test-only evaluation on Cassiano and Silva-Rocha 2020 data; methods have different training histories. 865 high-evidence RegulonDB 10.5 promoters and 1,000 nucleotide-distribution-matched negative sequences. Promoter exact matches removed from model training. Aggregation: Not reported ProkBERT family: genomic language models for microbiome applications · Table 3, row Multiply, column MCC; XML row9 column3 |
| Configuration: Multiply | Protocol: E. coli sigma70 independent promoter test (E. coli sigma70 promoter prediction) Dataset: E. coli sigma70 promoter dataset | 0.81 Recall fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Result quoted from another source · Source checkedMethods, coverage and sourceMultiply: E. coli sigma70 independent promoter test Test-only evaluation on Cassiano and Silva-Rocha 2020 data; methods have different training histories. 865 high-evidence RegulonDB 10.5 promoters and 1,000 nucleotide-distribution-matched negative sequences. Promoter exact matches removed from model training. Aggregation: Not reported ProkBERT family: genomic language models for microbiome applications · Table 3, row Multiply, column Sensitivity; XML row9 column4 |
| Configuration: ProkBERT-mini-long | Protocol: E. coli sigma70 independent promoter test (E. coli sigma70 promoter prediction) Dataset: E. coli sigma70 promoter dataset | 0.87 Accuracy unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceProkBERT-mini-long: E. coli sigma70 independent promoter test Test-only evaluation on Cassiano and Silva-Rocha 2020 data; methods have different training histories. 865 high-evidence RegulonDB 10.5 promoters and 1,000 nucleotide-distribution-matched negative sequences. Promoter exact matches removed from model training. Aggregation: Not reported ProkBERT family: genomic language models for microbiome applications · Table 3, row ProkBERT-mini-long, column Accuracy; XML row4 column2 |
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2 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Description No value recorded Context-only references | ProkBERT family: genomic language models for microbiome applications No field-specific location recorded Version: PMC10810988.1 | missing or unspecified No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Name E. coli sigma70 promoter dataset Context-only references | ProkBERT family: genomic language models for microbiome applications No field-specific location recorded Version: PMC10810988.1 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
Release 2026-11-02-a7f03c9e55a5 · Record review: needs review
Stable ID: reported-dataset-48def1da574597