rewirebio.iobenchmarks
Configuration

GenerRNA

GenerRNA: Nucleotide foundation model.

43 evaluations · 43 results

Overview

An explanatory profile has not yet been reviewed for this record.

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 configurationProtocol and datasetSpearmanAUROCMCCNDCG (cutoff not stated)
GenerRNAEvaluationNABench SELEX-RCV: Overall fitness prediction on NABench SELEX assays, Random cross validation Spearman ρ, NABench SELEX assays (NABench split)0.642 (best in column)Not reportedNot reportedNot reported
GenerRNAEvaluationNABench RCV-CORR-MRNA: Fitness prediction on mRNA assays, supervised, random cross validation, NABench mRNA assays (NABench split)0.64Not reportedNot reportedNot reported
GenerRNAEvaluationNABench SELEX-FS: Overall fitness prediction on NABench SELEX assays, Few-shot Spearman ρ, NABench SELEX assays (NABench split)0.571Not reportedNot reportedNot reported
GenerRNAEvaluationNABench RCV-CORR-PROMOTER: Fitness prediction on promoter assays, supervised, random cross validation, NABench promoter assays (NABench split)0.559Not reportedNot reportedNot reported
GenerRNAEvaluationNABench RCV-CORR-APTAMER: Fitness prediction on aptamer assays, supervised, random cross validation, NABench aptamer assays (NABench split)0.558Not reportedNot reportedNot reported
GenerRNAEvaluationNABench RCV-CORR-RIBOZYME: Fitness prediction on ribozyme assays, supervised, random cross validation, NABench ribozyme assays (NABench split)0.548Not reportedNot reportedNot reported
GenerRNAEvaluationNABench DMS-RCV: Overall fitness prediction on NABench deep mutational scanning assays, Random cross validation Spearman ρ, NABench deep mutational scanning assays (NABench split)0.536Not reportedNot reportedNot reported
GenerRNAEvaluationNABench RCV-CORR-TRNA: Fitness prediction on tRNA assays, supervised, random cross validation, NABench tRNA assays (NABench split)0.519Not reportedNot reportedNot reported
GenerRNAEvaluationNABench CCV-CORR-RIBOZYME: Fitness prediction on ribozyme assays, supervised, contiguous cross validation, NABench ribozyme assays (NABench split)0.317Not reportedNot reportedNot reported
GenerRNAEvaluationNABench RCV-CORR-ENHANCER: Fitness prediction on enhancer assays, supervised, random cross validation, NABench enhancer assays (NABench split)0.277Not reportedNot reportedNot reported
GenerRNAEvaluationNABench CCV-CORR-TRNA: Fitness prediction on tRNA assays, supervised, contiguous cross validation, NABench tRNA assays (NABench split)0.252Not reportedNot reportedNot reported
GenerRNAEvaluationNABench FS-CORR-MRNA: Fitness prediction on mRNA assays, few-shot, NABench mRNA assays (NABench split)0.216Not reportedNot reportedNot reported
GenerRNAEvaluationNABench ZS-CORR-MRNA: Fitness prediction on mRNA assays, zero-shot, NABench mRNA assays (NABench split)0.216Not reportedNot reportedNot reported
GenerRNAEvaluationNABench FS-CORR-APTAMER: Fitness prediction on aptamer assays, few-shot, NABench aptamer assays (NABench split)0.215Not reportedNot reportedNot reported
GenerRNAEvaluationNABench DMS-CCV: Overall fitness prediction on NABench deep mutational scanning assays, Contiguous cross validation Spearman ρ, NABench deep mutational scanning assays (NABench split)0.172Not reportedNot reportedNot reported
GenerRNAEvaluationNABench CCV-CORR-PROMOTER: Fitness prediction on promoter assays, supervised, contiguous cross validation, NABench promoter assays (NABench split)0.171Not reportedNot reportedNot reported
GenerRNAEvaluationNABench ZS-CORR-APTAMER: Fitness prediction on aptamer assays, zero-shot, NABench aptamer assays (NABench split)0.171Not reportedNot reportedNot reported
GenerRNAEvaluationNABench FS-CORR-RIBOZYME: Fitness prediction on ribozyme assays, few-shot, NABench ribozyme assays (NABench split)0.149Not reportedNot reportedNot reported
GenerRNAEvaluationNABench DMS-FS: Overall fitness prediction on NABench deep mutational scanning assays, Few-shot Spearman ρ, NABench deep mutational scanning assays (NABench split)0.146Not reportedNot reportedNot reported
GenerRNAEvaluationNABench FS-CORR-PROMOTER: Fitness prediction on promoter assays, few-shot, NABench promoter assays (NABench split)0.111Not reportedNot reportedNot reported
GenerRNAEvaluationNABench CCV-CORR-MRNA: Fitness prediction on mRNA assays, supervised, contiguous cross validation, NABench mRNA assays (NABench split)0.103Not reportedNot reportedNot reported
GenerRNAEvaluationNABench FS-CORR-TRNA: Fitness prediction on tRNA assays, few-shot, NABench tRNA assays (NABench split)0.099Not reportedNot reportedNot reported
GenerRNAEvaluationNABench ZS-CORR-TRNA: Fitness prediction on tRNA assays, zero-shot, NABench tRNA assays (NABench split)0.089Not reportedNot reportedNot reported
GenerRNAEvaluationNABench ZS-CORR-RIBOZYME: Fitness prediction on ribozyme assays, zero-shot, NABench ribozyme assays (NABench split)0.083Not reportedNot reportedNot reported
GenerRNAEvaluationNABench CCV-CORR-APTAMER: Fitness prediction on aptamer assays, supervised, contiguous cross validation, NABench aptamer assays (NABench split)0.081Not reportedNot reportedNot reported
GenerRNAEvaluationNABench DMS-ZS-CORR: Overall fitness prediction on NABench deep mutational scanning assays, Zero-shot Spearman ρ, NABench deep mutational scanning assays (NABench split)0.079Not reportedNot reportedNot reported
GenerRNAEvaluationNABench ZS-CORR-PROMOTER: Fitness prediction on promoter assays, zero-shot, NABench promoter assays (NABench split)0.075Not reportedNot reportedNot reported
GenerRNAEvaluationNABench SELEX-ZS-CORR: Overall fitness prediction on NABench SELEX assays, Zero-shot Spearman ρ, NABench SELEX assays (NABench split)0.049Not reportedNot reportedNot reported
GenerRNAEvaluationNABench CCV-CORR-ENHANCER: Fitness prediction on enhancer assays, supervised, contiguous cross validation, NABench enhancer assays (NABench split)0.024Not reportedNot reportedNot reported
GenerRNAEvaluationNABench FS-CORR-ENHANCER: Fitness prediction on enhancer assays, few-shot, NABench enhancer assays (NABench split)0.019Not reportedNot reportedNot reported
GenerRNAEvaluationNABench ZS-CORR-ENHANCER: Fitness prediction on enhancer assays, zero-shot, NABench enhancer assays (NABench split)0.006Not reportedNot reportedNot reported
GenerRNAEvaluationNABench DMS-ZS-AUC: Overall fitness prediction on NABench deep mutational scanning assays, Zero-shot AUC, NABench deep mutational scanning assays (NABench split)Not reported0.493Not reportedNot reported
GenerRNAEvaluationNABench DMS-ZS-MCC: Overall fitness prediction on NABench deep mutational scanning assays, Zero-shot MCC, NABench deep mutational scanning assays (NABench split)Not reportedNot reported0.043 (best in column)Not reported
GenerRNAEvaluationNABench DMS-ZS-NDCG: Overall fitness prediction on NABench deep mutational scanning assays, Zero-shot NDCG, NABench deep mutational scanning assays (NABench split)Not reportedNot reportedNot reported0.357 (best in column)
GenerRNAEvaluationNABench SELEX-ZS-AUC: Overall fitness prediction on NABench SELEX assays, Zero-shot AUC, NABench SELEX assays (NABench split)Not reported0.533Not reportedNot reported
GenerRNAEvaluationNABench SELEX-ZS-MCC: Overall fitness prediction on NABench SELEX assays, Zero-shot MCC, NABench SELEX assays (NABench split)Not reportedNot reported0.03Not reported
GenerRNAEvaluationNABench SELEX-ZS-NDCG: Overall fitness prediction on NABench SELEX assays, Zero-shot NDCG, NABench SELEX assays (NABench split)Not reportedNot reportedNot reported0.182
GenerRNAEvaluationNABench ZS-AUC-APTAMER: Fitness prediction on aptamer assays, zero-shot, NABench aptamer assays (NABench split)Not reported0.603Not reportedNot reported
GenerRNAEvaluationNABench ZS-AUC-ENHANCER: Fitness prediction on enhancer assays, zero-shot, NABench enhancer assays (NABench split)Not reported0.516Not reportedNot reported
GenerRNAEvaluationNABench ZS-AUC-MRNA: Fitness prediction on mRNA assays, zero-shot, NABench mRNA assays (NABench split)Not reported0.615Not reportedNot reported
GenerRNAEvaluationNABench ZS-AUC-PROMOTER: Fitness prediction on promoter assays, zero-shot, NABench promoter assays (NABench split)Not reported0.519Not reportedNot reported
GenerRNAEvaluationNABench ZS-AUC-RIBOZYME: Fitness prediction on ribozyme assays, zero-shot, NABench ribozyme assays (NABench split)Not reported0.528Not reportedNot reported
GenerRNAEvaluationNABench ZS-AUC-TRNA: Fitness prediction on tRNA assays, zero-shot, NABench tRNA assays (NABench split)Not reported0.619 (best in column)Not reportedNot reported
All 43 result rows with coverage, uncertainty and sources
Filter evaluations

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: GenerRNATask: NABench CCV-CORR-APTAMER: Fitness prediction on aptamer assays, supervised, contiguous cross validation
Dataset subset: NABench aptamer assays (NABench split)
0.081 Spearman
unitless · higher

Uncertainty: Not yet extracted

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

GenerRNA 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(GenerRNA), column(aptamer)
Configuration: GenerRNATask: NABench CCV-CORR-ENHANCER: Fitness prediction on enhancer assays, supervised, contiguous cross validation
Dataset subset: NABench enhancer assays (NABench split)
0.024 Spearman
unitless · higher

Uncertainty: Not yet extracted

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

GenerRNA 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(GenerRNA), column(enhancer)
Configuration: GenerRNATask: NABench CCV-CORR-MRNA: Fitness prediction on mRNA assays, supervised, contiguous cross validation
Dataset subset: NABench mRNA assays (NABench split)
0.103 Spearman
unitless · higher

Uncertainty: Not yet extracted

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

GenerRNA 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(GenerRNA), column(mRNA)
Configuration: GenerRNATask: NABench CCV-CORR-PROMOTER: Fitness prediction on promoter assays, supervised, contiguous cross validation
Dataset subset: NABench promoter assays (NABench split)
0.171 Spearman
unitless · higher

Uncertainty: Not yet extracted

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

GenerRNA 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(GenerRNA), column(promoter)
Configuration: GenerRNATask: NABench CCV-CORR-RIBOZYME: Fitness prediction on ribozyme assays, supervised, contiguous cross validation
Dataset subset: NABench ribozyme assays (NABench split)
0.317 Spearman
unitless · higher

Uncertainty: Not yet extracted

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

GenerRNA 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(GenerRNA), column(ribozyme)
Configuration: GenerRNATask: NABench CCV-CORR-TRNA: Fitness prediction on tRNA assays, supervised, contiguous cross validation
Dataset subset: NABench tRNA assays (NABench split)
0.252 Spearman
unitless · higher

Uncertainty: Not yet extracted

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

GenerRNA 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(GenerRNA), column(tRNA)
Configuration: GenerRNATask: 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)
0.172 Spearman
unitless · higher

Uncertainty: Not yet extracted

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

GenerRNA 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(GenerRNA), column(Contiguous cross validation Spearman ρ)
Configuration: GenerRNATask: 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)
0.146 Spearman
unitless · higher

Uncertainty: Not yet extracted

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

GenerRNA 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(GenerRNA), column(Few-shot Spearman ρ)
Configuration: GenerRNATask: 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)
0.536 Spearman
unitless · higher

Uncertainty: Not yet extracted

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

GenerRNA 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(GenerRNA), column(Random cross validation Spearman ρ)
Configuration: GenerRNATask: 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)
0.493 AUROC
unitless · higher

Uncertainty: Not yet extracted

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

GenerRNA 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(GenerRNA), column(Zero-shot AUC)
Configuration: GenerRNATask: 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)
0.079 Spearman
unitless · higher

Uncertainty: Not yet extracted

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

GenerRNA 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(GenerRNA), column(Zero-shot Spearman ρ)
Configuration: GenerRNATask: 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)
0.043 MCC
unitless · higher

Uncertainty: Not yet extracted

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

GenerRNA 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(GenerRNA), column(Zero-shot MCC)
Configuration: GenerRNATask: 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)
0.357 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

GenerRNA 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(GenerRNA), column(Zero-shot NDCG)
Configuration: GenerRNATask: NABench FS-CORR-APTAMER: Fitness prediction on aptamer assays, few-shot
Dataset subset: NABench aptamer assays (NABench split)
0.215 Spearman
unitless · higher

Uncertainty: Not yet extracted

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

GenerRNA 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(GenerRNA), column(aptamer)
Configuration: GenerRNATask: NABench FS-CORR-ENHANCER: Fitness prediction on enhancer assays, few-shot
Dataset subset: NABench enhancer assays (NABench split)
0.019 Spearman
unitless · higher

Uncertainty: Not yet extracted

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

GenerRNA 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(GenerRNA), column(enhancer)
Configuration: GenerRNATask: NABench FS-CORR-MRNA: Fitness prediction on mRNA assays, few-shot
Dataset subset: NABench mRNA assays (NABench split)
0.216 Spearman
unitless · higher

Uncertainty: Not yet extracted

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

GenerRNA 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(GenerRNA), column(mRNA)
Configuration: GenerRNATask: NABench FS-CORR-PROMOTER: Fitness prediction on promoter assays, few-shot
Dataset subset: NABench promoter assays (NABench split)
0.111 Spearman
unitless · higher

Uncertainty: Not yet extracted

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

GenerRNA 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(GenerRNA), column(promoter)
Configuration: GenerRNATask: NABench FS-CORR-RIBOZYME: Fitness prediction on ribozyme assays, few-shot
Dataset subset: NABench ribozyme assays (NABench split)
0.149 Spearman
unitless · higher

Uncertainty: Not yet extracted

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

GenerRNA 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(GenerRNA), column(ribozyme)
Configuration: GenerRNATask: NABench FS-CORR-TRNA: Fitness prediction on tRNA assays, few-shot
Dataset subset: NABench tRNA assays (NABench split)
0.099 Spearman
unitless · higher

Uncertainty: Not yet extracted

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

GenerRNA 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(GenerRNA), column(tRNA)
Configuration: GenerRNATask: NABench RCV-CORR-APTAMER: Fitness prediction on aptamer assays, supervised, random cross validation
Dataset subset: NABench aptamer assays (NABench split)
0.558 Spearman
unitless · higher

Uncertainty: Not yet extracted

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

GenerRNA 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(GenerRNA), column(aptamer)
Configuration: GenerRNATask: NABench RCV-CORR-ENHANCER: Fitness prediction on enhancer assays, supervised, random cross validation
Dataset subset: NABench enhancer assays (NABench split)
0.277 Spearman
unitless · higher

Uncertainty: Not yet extracted

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

GenerRNA 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(GenerRNA), column(enhancer)
Configuration: GenerRNATask: NABench RCV-CORR-MRNA: Fitness prediction on mRNA assays, supervised, random cross validation
Dataset subset: NABench mRNA assays (NABench split)
0.64 Spearman
unitless · higher

Uncertainty: Not yet extracted

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

GenerRNA 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(GenerRNA), column(mRNA)
Configuration: GenerRNATask: NABench RCV-CORR-PROMOTER: Fitness prediction on promoter assays, supervised, random cross validation
Dataset subset: NABench promoter assays (NABench split)
0.559 Spearman
unitless · higher

Uncertainty: Not yet extracted

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

GenerRNA 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(GenerRNA), column(promoter)
Configuration: GenerRNATask: NABench RCV-CORR-RIBOZYME: Fitness prediction on ribozyme assays, supervised, random cross validation
Dataset subset: NABench ribozyme assays (NABench split)
0.548 Spearman
unitless · higher

Uncertainty: Not yet extracted

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

GenerRNA 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(GenerRNA), column(ribozyme)
Configuration: GenerRNATask: NABench RCV-CORR-TRNA: Fitness prediction on tRNA assays, supervised, random cross validation
Dataset subset: NABench tRNA assays (NABench split)
0.519 Spearman
unitless · higher

Uncertainty: Not yet extracted

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

GenerRNA 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(GenerRNA), column(tRNA)

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Technical metadata and extraction receipts

Stable ID: nabench-method-generrna

areas
rna-transcriptomes
source locator
Table 7, row(GenerRNA)
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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