| Configuration: DNABERT-2 (further pre-trained on GUE) | Task: GUE TRANSCRIPTION-FACTOR-PREDICTION-HUMAN-3: Transcription factor prediction (human), dataset 3 Dataset subset: GUE Transcription factor prediction (human), 3 (GUE split) | 55.4% 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 TRANSCRIPTION-FACTOR-PREDICTION-HUMAN-3: Transcription factor prediction (human), dataset 3 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(Transcription factor prediction (human) 3) |
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| Configuration: DNABERT-2 | Task: GUE TRANSCRIPTION-FACTOR-PREDICTION-HUMAN-3: Transcription factor prediction (human), dataset 3 Dataset subset: GUE Transcription factor prediction (human), 3 (GUE split) | 58.5% mcc percent · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceDNABERT-2 on GUE TRANSCRIPTION-FACTOR-PREDICTION-HUMAN-3: Transcription factor prediction (human), dataset 3 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(Transcription factor prediction (human) 3) |
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| Configuration: DNABERT (3-mer) | Task: GUE TRANSCRIPTION-FACTOR-PREDICTION-HUMAN-3: Transcription factor prediction (human), dataset 3 Dataset subset: GUE Transcription factor prediction (human), 3 (GUE split) | 53% 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 TRANSCRIPTION-FACTOR-PREDICTION-HUMAN-3: Transcription factor prediction (human), dataset 3 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(Transcription factor prediction (human) 3) |
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| Configuration: DNABERT (4-mer) | Task: GUE TRANSCRIPTION-FACTOR-PREDICTION-HUMAN-3: Transcription factor prediction (human), dataset 3 Dataset subset: GUE Transcription factor prediction (human), 3 (GUE split) | 50.4% 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 TRANSCRIPTION-FACTOR-PREDICTION-HUMAN-3: Transcription factor prediction (human), dataset 3 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(Transcription factor prediction (human) 3) |
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| Configuration: DNABERT (5-mer) | Task: GUE TRANSCRIPTION-FACTOR-PREDICTION-HUMAN-3: Transcription factor prediction (human), dataset 3 Dataset subset: GUE Transcription factor prediction (human), 3 (GUE split) | 53% 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 TRANSCRIPTION-FACTOR-PREDICTION-HUMAN-3: Transcription factor prediction (human), dataset 3 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(Transcription factor prediction (human) 3) |
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| Configuration: DNABERT (6-mer) | Task: GUE TRANSCRIPTION-FACTOR-PREDICTION-HUMAN-3: Transcription factor prediction (human), dataset 3 Dataset subset: GUE Transcription factor prediction (human), 3 (GUE split) | 51.9% 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 TRANSCRIPTION-FACTOR-PREDICTION-HUMAN-3: Transcription factor prediction (human), dataset 3 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(Transcription factor prediction (human) 3) |
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| Configuration: NT-2500M-1000g | Task: GUE TRANSCRIPTION-FACTOR-PREDICTION-HUMAN-3: Transcription factor prediction (human), dataset 3 Dataset subset: GUE Transcription factor prediction (human), 3 (GUE split) | 49.1% 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 TRANSCRIPTION-FACTOR-PREDICTION-HUMAN-3: Transcription factor prediction (human), dataset 3 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(Transcription factor prediction (human) 3) |
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| Configuration: NT-2500M-multi | Task: GUE TRANSCRIPTION-FACTOR-PREDICTION-HUMAN-3: Transcription factor prediction (human), dataset 3 Dataset subset: GUE Transcription factor prediction (human), 3 (GUE split) | 51.6% 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 TRANSCRIPTION-FACTOR-PREDICTION-HUMAN-3: Transcription factor prediction (human), dataset 3 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(Transcription factor prediction (human) 3) |
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| Configuration: NT-500M-1000g | Task: GUE TRANSCRIPTION-FACTOR-PREDICTION-HUMAN-3: Transcription factor prediction (human), dataset 3 Dataset subset: GUE Transcription factor prediction (human), 3 (GUE split) | 45.2% 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 TRANSCRIPTION-FACTOR-PREDICTION-HUMAN-3: Transcription factor prediction (human), dataset 3 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(Transcription factor prediction (human) 3) |
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| Configuration: NT-500M-human | Task: GUE TRANSCRIPTION-FACTOR-PREDICTION-HUMAN-3: Transcription factor prediction (human), dataset 3 Dataset subset: GUE Transcription factor prediction (human), 3 (GUE split) | 43% 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 TRANSCRIPTION-FACTOR-PREDICTION-HUMAN-3: Transcription factor prediction (human), dataset 3 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(Transcription factor prediction (human) 3) |
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