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Dnabert

Dnabert: Nucleotide foundation model.

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Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.

Evaluations and results

43 evaluations · 43 results. Different protocols are not a single leaderboard.

Sorted by Spearman (higher is better). The best value in each column is highlighted. Decimals are rounded for display; each value links to the printed value and its source.

Tested configuration	Protocol and dataset	Spearman	AUROC	MCC	NDCG (cutoff not stated)
DnabertEvaluation	NABench SELEX-RCV: Overall fitness prediction on NABench SELEX assays, Random cross validation Spearman ρ, NABench SELEX assays (NABench split)	0.669 (best in column)	Not reported	Not reported	Not reported
DnabertEvaluation	NABench RCV-CORR-MRNA: Fitness prediction on mRNA assays, supervised, random cross validation, NABench mRNA assays (NABench split)	0.63	Not reported	Not reported	Not reported
DnabertEvaluation	NABench SELEX-FS: Overall fitness prediction on NABench SELEX assays, Few-shot Spearman ρ, NABench SELEX assays (NABench split)	0.582	Not reported	Not reported	Not reported
DnabertEvaluation	NABench RCV-CORR-PROMOTER: Fitness prediction on promoter assays, supervised, random cross validation, NABench promoter assays (NABench split)	0.579	Not reported	Not reported	Not reported
DnabertEvaluation	NABench RCV-CORR-TRNA: Fitness prediction on tRNA assays, supervised, random cross validation, NABench tRNA assays (NABench split)	0.543	Not reported	Not reported	Not reported
DnabertEvaluation	NABench DMS-RCV: Overall fitness prediction on NABench deep mutational scanning assays, Random cross validation Spearman ρ, NABench deep mutational scanning assays (NABench split)	0.473	Not reported	Not reported	Not reported
DnabertEvaluation	NABench RCV-CORR-RIBOZYME: Fitness prediction on ribozyme assays, supervised, random cross validation, NABench ribozyme assays (NABench split)	0.46	Not reported	Not reported	Not reported
DnabertEvaluation	NABench RCV-CORR-APTAMER: Fitness prediction on aptamer assays, supervised, random cross validation, NABench aptamer assays (NABench split)	0.426	Not reported	Not reported	Not reported
DnabertEvaluation	NABench CCV-CORR-RIBOZYME: Fitness prediction on ribozyme assays, supervised, contiguous cross validation, NABench ribozyme assays (NABench split)	0.213	Not reported	Not reported	Not reported
DnabertEvaluation	NABench FS-CORR-APTAMER: Fitness prediction on aptamer assays, few-shot, NABench aptamer assays (NABench split)	0.212	Not reported	Not reported	Not reported
DnabertEvaluation	NABench ZS-CORR-APTAMER: Fitness prediction on aptamer assays, zero-shot, NABench aptamer assays (NABench split)	0.208	Not reported	Not reported	Not reported
DnabertEvaluation	NABench RCV-CORR-ENHANCER: Fitness prediction on enhancer assays, supervised, random cross validation, NABench enhancer assays (NABench split)	0.206	Not reported	Not reported	Not reported
DnabertEvaluation	NABench FS-CORR-MRNA: Fitness prediction on mRNA assays, few-shot, NABench mRNA assays (NABench split)	0.184	Not reported	Not reported	Not reported
DnabertEvaluation	NABench DMS-CCV: Overall fitness prediction on NABench deep mutational scanning assays, Contiguous cross validation Spearman ρ, NABench deep mutational scanning assays (NABench split)	0.173	Not reported	Not reported	Not reported
DnabertEvaluation	NABench CCV-CORR-MRNA: Fitness prediction on mRNA assays, supervised, contiguous cross validation, NABench mRNA assays (NABench split)	0.167	Not reported	Not reported	Not reported
DnabertEvaluation	NABench CCV-CORR-TRNA: Fitness prediction on tRNA assays, supervised, contiguous cross validation, NABench tRNA assays (NABench split)	0.159	Not reported	Not reported	Not reported
DnabertEvaluation	NABench FS-CORR-RIBOZYME: Fitness prediction on ribozyme assays, few-shot, NABench ribozyme assays (NABench split)	0.15	Not reported	Not reported	Not reported
DnabertEvaluation	NABench DMS-FS: Overall fitness prediction on NABench deep mutational scanning assays, Few-shot Spearman ρ, NABench deep mutational scanning assays (NABench split)	0.142	Not reported	Not reported	Not reported
DnabertEvaluation	NABench FS-CORR-PROMOTER: Fitness prediction on promoter assays, few-shot, NABench promoter assays (NABench split)	0.108	Not reported	Not reported	Not reported
DnabertEvaluation	NABench ZS-CORR-TRNA: Fitness prediction on tRNA assays, zero-shot, NABench tRNA assays (NABench split)	0.104	Not reported	Not reported	Not reported
DnabertEvaluation	NABench FS-CORR-ENHANCER: Fitness prediction on enhancer assays, few-shot, NABench enhancer assays (NABench split)	0.093	Not reported	Not reported	Not reported
DnabertEvaluation	NABench CCV-CORR-APTAMER: Fitness prediction on aptamer assays, supervised, contiguous cross validation, NABench aptamer assays (NABench split)	0.08	Not reported	Not reported	Not reported
DnabertEvaluation	NABench DMS-ZS-CORR: Overall fitness prediction on NABench deep mutational scanning assays, Zero-shot Spearman ρ, NABench deep mutational scanning assays (NABench split)	0.08	Not reported	Not reported	Not reported
DnabertEvaluation	NABench ZS-CORR-MRNA: Fitness prediction on mRNA assays, zero-shot, NABench mRNA assays (NABench split)	0.074	Not reported	Not reported	Not reported
DnabertEvaluation	NABench FS-CORR-TRNA: Fitness prediction on tRNA assays, few-shot, NABench tRNA assays (NABench split)	0.068	Not reported	Not reported	Not reported
DnabertEvaluation	NABench SELEX-ZS-CORR: Overall fitness prediction on NABench SELEX assays, Zero-shot Spearman ρ, NABench SELEX assays (NABench split)	0.067	Not reported	Not reported	Not reported
DnabertEvaluation	NABench ZS-CORR-PROMOTER: Fitness prediction on promoter assays, zero-shot, NABench promoter assays (NABench split)	0.067	Not reported	Not reported	Not reported
DnabertEvaluation	NABench CCV-CORR-ENHANCER: Fitness prediction on enhancer assays, supervised, contiguous cross validation, NABench enhancer assays (NABench split)	0.064	Not reported	Not reported	Not reported
DnabertEvaluation	NABench CCV-CORR-PROMOTER: Fitness prediction on promoter assays, supervised, contiguous cross validation, NABench promoter assays (NABench split)	0.049	Not reported	Not reported	Not reported
DnabertEvaluation	NABench ZS-CORR-RIBOZYME: Fitness prediction on ribozyme assays, zero-shot, NABench ribozyme assays (NABench split)	0.049	Not reported	Not reported	Not reported
DnabertEvaluation	NABench ZS-CORR-ENHANCER: Fitness prediction on enhancer assays, zero-shot, NABench enhancer assays (NABench split)	0.038	Not reported	Not reported	Not reported
DnabertEvaluation	NABench DMS-ZS-AUC: Overall fitness prediction on NABench deep mutational scanning assays, Zero-shot AUC, NABench deep mutational scanning assays (NABench split)	Not reported	0.539	Not reported	Not reported
DnabertEvaluation	NABench DMS-ZS-MCC: Overall fitness prediction on NABench deep mutational scanning assays, Zero-shot MCC, NABench deep mutational scanning assays (NABench split)	Not reported	Not reported	0.045 (best in column)	Not reported
DnabertEvaluation	NABench DMS-ZS-NDCG: Overall fitness prediction on NABench deep mutational scanning assays, Zero-shot NDCG, NABench deep mutational scanning assays (NABench split)	Not reported	Not reported	Not reported	0.37 (best in column)
DnabertEvaluation	NABench SELEX-ZS-AUC: Overall fitness prediction on NABench SELEX assays, Zero-shot AUC, NABench SELEX assays (NABench split)	Not reported	0.534	Not reported	Not reported
DnabertEvaluation	NABench SELEX-ZS-MCC: Overall fitness prediction on NABench SELEX assays, Zero-shot MCC, NABench SELEX assays (NABench split)	Not reported	Not reported	0.044	Not reported
DnabertEvaluation	NABench SELEX-ZS-NDCG: Overall fitness prediction on NABench SELEX assays, Zero-shot NDCG, NABench SELEX assays (NABench split)	Not reported	Not reported	Not reported	0.305
DnabertEvaluation	NABench ZS-AUC-APTAMER: Fitness prediction on aptamer assays, zero-shot, NABench aptamer assays (NABench split)	Not reported	0.589 (best in column)	Not reported	Not reported
DnabertEvaluation	NABench ZS-AUC-ENHANCER: Fitness prediction on enhancer assays, zero-shot, NABench enhancer assays (NABench split)	Not reported	0.547	Not reported	Not reported
DnabertEvaluation	NABench ZS-AUC-MRNA: Fitness prediction on mRNA assays, zero-shot, NABench mRNA assays (NABench split)	Not reported	0.538	Not reported	Not reported
DnabertEvaluation	NABench ZS-AUC-PROMOTER: Fitness prediction on promoter assays, zero-shot, NABench promoter assays (NABench split)	Not reported	0.53	Not reported	Not reported
DnabertEvaluation	NABench ZS-AUC-RIBOZYME: Fitness prediction on ribozyme assays, zero-shot, NABench ribozyme assays (NABench split)	Not reported	0.525	Not reported	Not reported
DnabertEvaluation	NABench ZS-AUC-TRNA: Fitness prediction on tRNA assays, zero-shot, NABench tRNA assays (NABench split)	Not reported	0.561	Not reported	Not reported

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NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction · Original source · Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256

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Stable ID: nabench-method-dnabert

areas: rna-transcriptomes
source locator: Table 7, row(Dnabert)
missing metadata: checkpoint revision: reason: unreported; parameters: reason: unextracted
provenance note: Nucleotide foundation model evaluated by the NABench authors under their fitness prediction protocol.

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Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: Dnabert	Task: NABench CCV-CORR-APTAMER: Fitness prediction on aptamer assays, supervised, contiguous cross validation Dataset subset: NABench aptamer assays (NABench split)	0.08 Spearman unitless · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source Dnabert on NABench CCV-CORR-APTAMER: Fitness prediction on aptamer assays, supervised, contiguous cross validation Scored supervised, contiguous cross validation across the NABench aptamer assays. Aggregation: Not reported NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction · Table 11, row(Dnabert), column(aptamer)
Configuration: Dnabert	Task: NABench CCV-CORR-ENHANCER: Fitness prediction on enhancer assays, supervised, contiguous cross validation Dataset subset: NABench enhancer assays (NABench split)	0.064 Spearman unitless · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source Dnabert on NABench CCV-CORR-ENHANCER: Fitness prediction on enhancer assays, supervised, contiguous cross validation Scored supervised, contiguous cross validation across the NABench enhancer assays. Aggregation: Not reported NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction · Table 11, row(Dnabert), column(enhancer)
Configuration: Dnabert	Task: NABench CCV-CORR-MRNA: Fitness prediction on mRNA assays, supervised, contiguous cross validation Dataset subset: NABench mRNA assays (NABench split)	0.167 Spearman unitless · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source Dnabert on NABench CCV-CORR-MRNA: Fitness prediction on mRNA assays, supervised, contiguous cross validation Scored supervised, contiguous cross validation across the NABench mRNA assays. Aggregation: Not reported NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction · Table 11, row(Dnabert), column(mRNA)
Configuration: Dnabert	Task: NABench CCV-CORR-PROMOTER: Fitness prediction on promoter assays, supervised, contiguous cross validation Dataset subset: NABench promoter assays (NABench split)	0.049 Spearman unitless · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source Dnabert on NABench CCV-CORR-PROMOTER: Fitness prediction on promoter assays, supervised, contiguous cross validation Scored supervised, contiguous cross validation across the NABench promoter assays. Aggregation: Not reported NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction · Table 11, row(Dnabert), column(promoter)
Configuration: Dnabert	Task: NABench CCV-CORR-RIBOZYME: Fitness prediction on ribozyme assays, supervised, contiguous cross validation Dataset subset: NABench ribozyme assays (NABench split)	0.213 Spearman unitless · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source Dnabert on NABench CCV-CORR-RIBOZYME: Fitness prediction on ribozyme assays, supervised, contiguous cross validation Scored supervised, contiguous cross validation across the NABench ribozyme assays. Aggregation: Not reported NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction · Table 11, row(Dnabert), column(ribozyme)
Configuration: Dnabert	Task: NABench CCV-CORR-TRNA: Fitness prediction on tRNA assays, supervised, contiguous cross validation Dataset subset: NABench tRNA assays (NABench split)	0.159 Spearman unitless · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source Dnabert on NABench CCV-CORR-TRNA: Fitness prediction on tRNA assays, supervised, contiguous cross validation Scored supervised, contiguous cross validation across the NABench tRNA assays. Aggregation: Not reported NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction · Table 11, row(Dnabert), column(tRNA)
Configuration: Dnabert	Task: NABench DMS-CCV: Overall fitness prediction on NABench deep mutational scanning assays, Contiguous cross validation Spearman ρ Dataset subset: NABench deep mutational scanning assays (NABench split)	0.173 Spearman unitless · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source Dnabert on NABench DMS-CCV: Overall fitness prediction on NABench deep mutational scanning assays, Contiguous cross validation Spearman ρ Aggregated by the NABench authors across NABench deep mutational scanning assays. Aggregation: Not reported NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction · Table 6, row(Dnabert), column(Contiguous cross validation Spearman ρ)
Configuration: Dnabert	Task: NABench DMS-FS: Overall fitness prediction on NABench deep mutational scanning assays, Few-shot Spearman ρ Dataset subset: NABench deep mutational scanning assays (NABench split)	0.142 Spearman unitless · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source Dnabert on NABench DMS-FS: Overall fitness prediction on NABench deep mutational scanning assays, Few-shot Spearman ρ Aggregated by the NABench authors across NABench deep mutational scanning assays. Aggregation: Not reported NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction · Table 6, row(Dnabert), column(Few-shot Spearman ρ)
Configuration: Dnabert	Task: NABench DMS-RCV: Overall fitness prediction on NABench deep mutational scanning assays, Random cross validation Spearman ρ Dataset subset: NABench deep mutational scanning assays (NABench split)	0.473 Spearman unitless · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source Dnabert on NABench DMS-RCV: Overall fitness prediction on NABench deep mutational scanning assays, Random cross validation Spearman ρ Aggregated by the NABench authors across NABench deep mutational scanning assays. Aggregation: Not reported NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction · Table 6, row(Dnabert), column(Random cross validation Spearman ρ)
Configuration: Dnabert	Task: NABench DMS-ZS-AUC: Overall fitness prediction on NABench deep mutational scanning assays, Zero-shot AUC Dataset subset: NABench deep mutational scanning assays (NABench split)	0.539 AUROC unitless · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source Dnabert on NABench DMS-ZS-AUC: Overall fitness prediction on NABench deep mutational scanning assays, Zero-shot AUC Aggregated by the NABench authors across NABench deep mutational scanning assays. Aggregation: Not reported NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction · Table 6, row(Dnabert), column(Zero-shot AUC)
Configuration: Dnabert	Task: NABench DMS-ZS-CORR: Overall fitness prediction on NABench deep mutational scanning assays, Zero-shot Spearman ρ Dataset subset: NABench deep mutational scanning assays (NABench split)	0.08 Spearman unitless · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source Dnabert on NABench DMS-ZS-CORR: Overall fitness prediction on NABench deep mutational scanning assays, Zero-shot Spearman ρ Aggregated by the NABench authors across NABench deep mutational scanning assays. Aggregation: Not reported NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction · Table 6, row(Dnabert), column(Zero-shot Spearman ρ)
Configuration: Dnabert	Task: NABench DMS-ZS-MCC: Overall fitness prediction on NABench deep mutational scanning assays, Zero-shot MCC Dataset subset: NABench deep mutational scanning assays (NABench split)	0.045 MCC unitless · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source Dnabert on NABench DMS-ZS-MCC: Overall fitness prediction on NABench deep mutational scanning assays, Zero-shot MCC Aggregated by the NABench authors across NABench deep mutational scanning assays. Aggregation: Not reported NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction · Table 6, row(Dnabert), column(Zero-shot MCC)
Configuration: Dnabert	Task: NABench DMS-ZS-NDCG: Overall fitness prediction on NABench deep mutational scanning assays, Zero-shot NDCG Dataset subset: NABench deep mutational scanning assays (NABench split)	0.37 NDCG (cutoff not stated) unitless · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source Dnabert on NABench DMS-ZS-NDCG: Overall fitness prediction on NABench deep mutational scanning assays, Zero-shot NDCG Aggregated by the NABench authors across NABench deep mutational scanning assays. Aggregation: Not reported NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction · Table 6, row(Dnabert), column(Zero-shot NDCG)
Configuration: Dnabert	Task: NABench FS-CORR-APTAMER: Fitness prediction on aptamer assays, few-shot Dataset subset: NABench aptamer assays (NABench split)	0.212 Spearman unitless · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source Dnabert on NABench FS-CORR-APTAMER: Fitness prediction on aptamer assays, few-shot Scored few-shot across the NABench aptamer assays. Aggregation: Not reported NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction · Table 9, row(Dnabert), column(aptamer)
Configuration: Dnabert	Task: NABench FS-CORR-ENHANCER: Fitness prediction on enhancer assays, few-shot Dataset subset: NABench enhancer assays (NABench split)	0.093 Spearman unitless · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source Dnabert on NABench FS-CORR-ENHANCER: Fitness prediction on enhancer assays, few-shot Scored few-shot across the NABench enhancer assays. Aggregation: Not reported NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction · Table 9, row(Dnabert), column(enhancer)
Configuration: Dnabert	Task: NABench FS-CORR-MRNA: Fitness prediction on mRNA assays, few-shot Dataset subset: NABench mRNA assays (NABench split)	0.184 Spearman unitless · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source Dnabert on NABench FS-CORR-MRNA: Fitness prediction on mRNA assays, few-shot Scored few-shot across the NABench mRNA assays. Aggregation: Not reported NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction · Table 9, row(Dnabert), column(mRNA)
Configuration: Dnabert	Task: NABench FS-CORR-PROMOTER: Fitness prediction on promoter assays, few-shot Dataset subset: NABench promoter assays (NABench split)	0.108 Spearman unitless · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source Dnabert on NABench FS-CORR-PROMOTER: Fitness prediction on promoter assays, few-shot Scored few-shot across the NABench promoter assays. Aggregation: Not reported NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction · Table 9, row(Dnabert), column(promoter)
Configuration: Dnabert	Task: NABench FS-CORR-RIBOZYME: Fitness prediction on ribozyme assays, few-shot Dataset subset: NABench ribozyme assays (NABench split)	0.15 Spearman unitless · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source Dnabert on NABench FS-CORR-RIBOZYME: Fitness prediction on ribozyme assays, few-shot Scored few-shot across the NABench ribozyme assays. Aggregation: Not reported NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction · Table 9, row(Dnabert), column(ribozyme)
Configuration: Dnabert	Task: NABench FS-CORR-TRNA: Fitness prediction on tRNA assays, few-shot Dataset subset: NABench tRNA assays (NABench split)	0.068 Spearman unitless · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source Dnabert on NABench FS-CORR-TRNA: Fitness prediction on tRNA assays, few-shot Scored few-shot across the NABench tRNA assays. Aggregation: Not reported NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction · Table 9, row(Dnabert), column(tRNA)
Configuration: Dnabert	Task: NABench RCV-CORR-APTAMER: Fitness prediction on aptamer assays, supervised, random cross validation Dataset subset: NABench aptamer assays (NABench split)	0.426 Spearman unitless · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source Dnabert on NABench RCV-CORR-APTAMER: Fitness prediction on aptamer assays, supervised, random cross validation Scored supervised, random cross validation across the NABench aptamer assays. Aggregation: Not reported NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction · Table 10, row(Dnabert), column(aptamer)
Configuration: Dnabert	Task: NABench RCV-CORR-ENHANCER: Fitness prediction on enhancer assays, supervised, random cross validation Dataset subset: NABench enhancer assays (NABench split)	0.206 Spearman unitless · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source Dnabert on NABench RCV-CORR-ENHANCER: Fitness prediction on enhancer assays, supervised, random cross validation Scored supervised, random cross validation across the NABench enhancer assays. Aggregation: Not reported NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction · Table 10, row(Dnabert), column(enhancer)
Configuration: Dnabert	Task: NABench RCV-CORR-MRNA: Fitness prediction on mRNA assays, supervised, random cross validation Dataset subset: NABench mRNA assays (NABench split)	0.63 Spearman unitless · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source Dnabert on NABench RCV-CORR-MRNA: Fitness prediction on mRNA assays, supervised, random cross validation Scored supervised, random cross validation across the NABench mRNA assays. Aggregation: Not reported NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction · Table 10, row(Dnabert), column(mRNA)
Configuration: Dnabert	Task: NABench RCV-CORR-PROMOTER: Fitness prediction on promoter assays, supervised, random cross validation Dataset subset: NABench promoter assays (NABench split)	0.579 Spearman unitless · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source Dnabert on NABench RCV-CORR-PROMOTER: Fitness prediction on promoter assays, supervised, random cross validation Scored supervised, random cross validation across the NABench promoter assays. Aggregation: Not reported NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction · Table 10, row(Dnabert), column(promoter)
Configuration: Dnabert	Task: NABench RCV-CORR-RIBOZYME: Fitness prediction on ribozyme assays, supervised, random cross validation Dataset subset: NABench ribozyme assays (NABench split)	0.46 Spearman unitless · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source Dnabert on NABench RCV-CORR-RIBOZYME: Fitness prediction on ribozyme assays, supervised, random cross validation Scored supervised, random cross validation across the NABench ribozyme assays. Aggregation: Not reported NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction · Table 10, row(Dnabert), column(ribozyme)
Configuration: Dnabert	Task: NABench RCV-CORR-TRNA: Fitness prediction on tRNA assays, supervised, random cross validation Dataset subset: NABench tRNA assays (NABench split)	0.543 Spearman unitless · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source Dnabert on NABench RCV-CORR-TRNA: Fitness prediction on tRNA assays, supervised, random cross validation Scored supervised, random cross validation across the NABench tRNA assays. Aggregation: Not reported NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction · Table 10, row(Dnabert), column(tRNA)