| Configuration: DNABERT-2 (further pre-trained on GUE) | Task: GUE PROMOTER-DETECTION-NOTATA: Promoter detection, dataset notata Dataset subset: GUE Promoter detection, notata (GUE split) | 94.3% mcc percent · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceDNABERT-2 (further pre-trained on GUE) on GUE PROMOTER-DETECTION-NOTATA: Promoter detection, dataset notata Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12. Aggregation: Not reported DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(DNABERT-2♦), column(Promoter detection notata) |
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| Configuration: DNABERT-2 | Task: GUE PROMOTER-DETECTION-NOTATA: Promoter detection, dataset notata Dataset subset: GUE Promoter detection, notata (GUE split) | 94.3% mcc percent · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceDNABERT-2 on GUE PROMOTER-DETECTION-NOTATA: Promoter detection, dataset notata Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12. Aggregation: Not reported DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(DNABERT-2), column(Promoter detection notata) |
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| Configuration: DNABERT (3-mer) | Task: GUE PROMOTER-DETECTION-NOTATA: Promoter detection, dataset notata Dataset subset: GUE Promoter detection, notata (GUE split) | 93.6% mcc percent · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceDNABERT (3-mer) on GUE PROMOTER-DETECTION-NOTATA: Promoter detection, dataset notata Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12. Aggregation: Not reported DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(DNABERT (3-mer)), column(Promoter detection notata) |
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| Configuration: DNABERT (4-mer) | Task: GUE PROMOTER-DETECTION-NOTATA: Promoter detection, dataset notata Dataset subset: GUE Promoter detection, notata (GUE split) | 92.7% mcc percent · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceDNABERT (4-mer) on GUE PROMOTER-DETECTION-NOTATA: Promoter detection, dataset notata Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12. Aggregation: Not reported DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(DNABERT (4-mer)), column(Promoter detection notata) |
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| Configuration: DNABERT (5-mer) | Task: GUE PROMOTER-DETECTION-NOTATA: Promoter detection, dataset notata Dataset subset: GUE Promoter detection, notata (GUE split) | 92.5% mcc percent · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceDNABERT (5-mer) on GUE PROMOTER-DETECTION-NOTATA: Promoter detection, dataset notata Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12. Aggregation: Not reported DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(DNABERT (5-mer)), column(Promoter detection notata) |
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| Configuration: DNABERT (6-mer) | Task: GUE PROMOTER-DETECTION-NOTATA: Promoter detection, dataset notata Dataset subset: GUE Promoter detection, notata (GUE split) | 93% mcc percent · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceDNABERT (6-mer) on GUE PROMOTER-DETECTION-NOTATA: Promoter detection, dataset notata Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12. Aggregation: Not reported DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(DNABERT (6-mer)), column(Promoter detection notata) |
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| Configuration: NT-2500M-1000g | Task: GUE PROMOTER-DETECTION-NOTATA: Promoter detection, dataset notata Dataset subset: GUE Promoter detection, notata (GUE split) | 93.1% mcc percent · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNT-2500M-1000g on GUE PROMOTER-DETECTION-NOTATA: Promoter detection, dataset notata Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12. Aggregation: Not reported DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(NT-2500M-1000g), column(Promoter detection notata) |
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| Configuration: NT-2500M-multi | Task: GUE PROMOTER-DETECTION-NOTATA: Promoter detection, dataset notata Dataset subset: GUE Promoter detection, notata (GUE split) | 94% mcc percent · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNT-2500M-multi on GUE PROMOTER-DETECTION-NOTATA: Promoter detection, dataset notata Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12. Aggregation: Not reported DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(NT-2500M-multi), column(Promoter detection notata) |
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| Configuration: NT-500M-1000g | Task: GUE PROMOTER-DETECTION-NOTATA: Promoter detection, dataset notata Dataset subset: GUE Promoter detection, notata (GUE split) | 91.8% mcc percent · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNT-500M-1000g on GUE PROMOTER-DETECTION-NOTATA: Promoter detection, dataset notata Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12. Aggregation: Not reported DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(NT-500M-1000g), column(Promoter detection notata) |
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| Configuration: NT-500M-human | Task: GUE PROMOTER-DETECTION-NOTATA: Promoter detection, dataset notata Dataset subset: GUE Promoter detection, notata (GUE split) | 90.8% mcc percent · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNT-500M-human on GUE PROMOTER-DETECTION-NOTATA: Promoter detection, dataset notata Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12. Aggregation: Not reported DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(NT-500M-human), column(Promoter detection notata) |
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