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7 evaluations · 49 results. Different protocols are not a single leaderboard.
Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: 2OMe-LM | Protocol: Human RNA 2OMe sites, five-fold cross-validation (human RNA 2-prime-O-methylation site prediction) Dataset: human RNA 2OMe sites | 0.919 AUC fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and source2OMe-LM: human RNA 2-prime-O-methylation site prediction 41-nt centred RNA windows; balanced 8,037 positive and 8,037 negative samples after 80% identity filtering, then 8:2 train/test division. Average of five validation folds of the training set. Aggregation: Not reported 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model · Table 1, 2OMe-LM row, AUC column |
| Configuration: GloVe + TextCNN + MLP | Protocol: Human RNA 2OMe sites, five-fold cross-validation (human RNA 2-prime-O-methylation site prediction) Dataset: human RNA 2OMe sites | 0.502 MCC unitless · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGloVe + TextCNN + MLP: Human RNA 2OMe sites, five-fold cross-validation 41-nt centred RNA windows; balanced 8,037 positive and 8,037 negative samples after 80% identity filtering, then 8:2 train/test division. Average of five validation folds of the training set. Aggregation: Not reported 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model · Table 1. (btaf417-T1), row 3 GloVe + TextCNN + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC |
| Configuration: GloVe + Transformer + MLP | Protocol: Human RNA 2OMe sites, five-fold cross-validation (human RNA 2-prime-O-methylation site prediction) Dataset: human RNA 2OMe sites | 0.832 AUC fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGloVe + Transformer + MLP: Human RNA 2OMe sites, five-fold cross-validation 41-nt centred RNA windows; balanced 8,037 positive and 8,037 negative samples after 80% identity filtering, then 8:2 train/test division. Average of five validation folds of the training set. Aggregation: Not reported 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model · Table 1. (btaf417-T1), row 4 GloVe + Transformer + MLP, column 6: Human RNA 2OMe sites, five-fold cross-validation AUC |
| Configuration: Word2vec + TextCNN + MLP | Protocol: Human RNA 2OMe sites, five-fold cross-validation (human RNA 2-prime-O-methylation site prediction) Dataset: human RNA 2OMe sites | 0.852 AUPR fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceWord2vec + TextCNN + MLP: Human RNA 2OMe sites, five-fold cross-validation 41-nt centred RNA windows; balanced 8,037 positive and 8,037 negative samples after 80% identity filtering, then 8:2 train/test division. Average of five validation folds of the training set. Aggregation: Not reported 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model · Table 1. (btaf417-T1), row 6 Word2vec + TextCNN + MLP, column 7: Human RNA 2OMe sites, five-fold cross-validation AUPR |
| Configuration: 2OMe-LM | Protocol: Human RNA 2OMe sites, five-fold cross-validation (human RNA 2-prime-O-methylation site prediction) Dataset: human RNA 2OMe sites |
0.929
AUPR fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and source2OMe-LM: human RNA 2-prime-O-methylation site prediction 41-nt centred RNA windows; balanced 8,037 positive and 8,037 negative samples after 80% identity filtering, then 8:2 train/test division. Average of five validation folds of the training set. Aggregation: Not reported 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model · Table 1. (btaf417-T1), row 8 2OMe-LM, column 7: Human RNA 2OMe sites, five-fold cross-validation AUPR |
| Configuration: GloVe + TextCNN + MLP | Protocol: Human RNA 2OMe sites, five-fold cross-validation (human RNA 2-prime-O-methylation site prediction) Dataset: human RNA 2OMe sites | 0.805 Precision fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGloVe + TextCNN + MLP: Human RNA 2OMe sites, five-fold cross-validation 41-nt centred RNA windows; balanced 8,037 positive and 8,037 negative samples after 80% identity filtering, then 8:2 train/test division. Average of five validation folds of the training set. Aggregation: Not reported 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model · Table 1. (btaf417-T1), row 3 GloVe + TextCNN + MLP, column 4: Human RNA 2OMe sites, five-fold cross-validation Precision |
| Configuration: Word2vec + TextCNN + MLP | Protocol: Human RNA 2OMe sites, five-fold cross-validation (human RNA 2-prime-O-methylation site prediction) Dataset: human RNA 2OMe sites | 0.764 ACC fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceWord2vec + TextCNN + MLP: Human RNA 2OMe sites, five-fold cross-validation 41-nt centred RNA windows; balanced 8,037 positive and 8,037 negative samples after 80% identity filtering, then 8:2 train/test division. Average of five validation folds of the training set. Aggregation: Not reported 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model · Table 1. (btaf417-T1), row 6 Word2vec + TextCNN + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC |
| Configuration: GloVe + MLP | Protocol: Human RNA 2OMe sites, five-fold cross-validation (human RNA 2-prime-O-methylation site prediction) Dataset: human RNA 2OMe sites | 0.872 AUPR fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGloVe + MLP: Human RNA 2OMe sites, five-fold cross-validation 41-nt centred RNA windows; balanced 8,037 positive and 8,037 negative samples after 80% identity filtering, then 8:2 train/test division. Average of five validation folds of the training set. Aggregation: Not reported 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model · Table 1. (btaf417-T1), row 2 GloVe + MLP, column 7: Human RNA 2OMe sites, five-fold cross-validation AUPR |
| Configuration: GloVe + Transformer + MLP | Protocol: Human RNA 2OMe sites, five-fold cross-validation (human RNA 2-prime-O-methylation site prediction) Dataset: human RNA 2OMe sites | 0.49 MCC unitless · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGloVe + Transformer + MLP: Human RNA 2OMe sites, five-fold cross-validation 41-nt centred RNA windows; balanced 8,037 positive and 8,037 negative samples after 80% identity filtering, then 8:2 train/test division. Average of five validation folds of the training set. Aggregation: Not reported 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model · Table 1. (btaf417-T1), row 4 GloVe + Transformer + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC |
| Configuration: 2OMe-LM | Protocol: Human RNA 2OMe sites, five-fold cross-validation (human RNA 2-prime-O-methylation site prediction) Dataset: human RNA 2OMe sites |
0.873
Precision fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and source2OMe-LM: human RNA 2-prime-O-methylation site prediction 41-nt centred RNA windows; balanced 8,037 positive and 8,037 negative samples after 80% identity filtering, then 8:2 train/test division. Average of five validation folds of the training set. Aggregation: Not reported 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model · Table 1. (btaf417-T1), row 8 2OMe-LM, column 4: Human RNA 2OMe sites, five-fold cross-validation Precision |
| Configuration: Word2vec + TextCNN + MLP | Protocol: Human RNA 2OMe sites, five-fold cross-validation (human RNA 2-prime-O-methylation site prediction) Dataset: human RNA 2OMe sites | 0.772 Precision fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceWord2vec + TextCNN + MLP: Human RNA 2OMe sites, five-fold cross-validation 41-nt centred RNA windows; balanced 8,037 positive and 8,037 negative samples after 80% identity filtering, then 8:2 train/test division. Average of five validation folds of the training set. Aggregation: Not reported 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model · Table 1. (btaf417-T1), row 6 Word2vec + TextCNN + MLP, column 4: Human RNA 2OMe sites, five-fold cross-validation Precision |
| Configuration: GloVe + Transformer + MLP | Protocol: Human RNA 2OMe sites, five-fold cross-validation (human RNA 2-prime-O-methylation site prediction) Dataset: human RNA 2OMe sites | 0.72 F1-score fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGloVe + Transformer + MLP: Human RNA 2OMe sites, five-fold cross-validation 41-nt centred RNA windows; balanced 8,037 positive and 8,037 negative samples after 80% identity filtering, then 8:2 train/test division. Average of five validation folds of the training set. Aggregation: Not reported 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model · Table 1. (btaf417-T1), row 4 GloVe + Transformer + MLP, column 3: Human RNA 2OMe sites, five-fold cross-validation F1-score |
| Configuration: Word2vec + TextCNN + MLP | Protocol: Human RNA 2OMe sites, five-fold cross-validation (human RNA 2-prime-O-methylation site prediction) Dataset: human RNA 2OMe sites | 0.761 F1-score fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceWord2vec + TextCNN + MLP: Human RNA 2OMe sites, five-fold cross-validation 41-nt centred RNA windows; balanced 8,037 positive and 8,037 negative samples after 80% identity filtering, then 8:2 train/test division. Average of five validation folds of the training set. Aggregation: Not reported 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model · Table 1. (btaf417-T1), row 6 Word2vec + TextCNN + MLP, column 3: Human RNA 2OMe sites, five-fold cross-validation F1-score |
| Configuration: GloVe + MLP | Protocol: Human RNA 2OMe sites, five-fold cross-validation (human RNA 2-prime-O-methylation site prediction) Dataset: human RNA 2OMe sites | 0.843 Precision fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGloVe + MLP: Human RNA 2OMe sites, five-fold cross-validation 41-nt centred RNA windows; balanced 8,037 positive and 8,037 negative samples after 80% identity filtering, then 8:2 train/test division. Average of five validation folds of the training set. Aggregation: Not reported 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model · Table 1. (btaf417-T1), row 2 GloVe + MLP, column 4: Human RNA 2OMe sites, five-fold cross-validation Precision |
| Configuration: Word2Vec + Transformer + MLP | Protocol: Human RNA 2OMe sites, five-fold cross-validation (human RNA 2-prime-O-methylation site prediction) Dataset: human RNA 2OMe sites | 0.749 ACC fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceWord2Vec + Transformer + MLP: Human RNA 2OMe sites, five-fold cross-validation 41-nt centred RNA windows; balanced 8,037 positive and 8,037 negative samples after 80% identity filtering, then 8:2 train/test division. Average of five validation folds of the training set. Aggregation: Not reported 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model · Table 1. (btaf417-T1), row 7 Word2Vec + Transformer + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC |
| Configuration: 2OMe-LM | Protocol: Human RNA 2OMe sites, five-fold cross-validation (human RNA 2-prime-O-methylation site prediction) Dataset: human RNA 2OMe sites |
0.846
ACC fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and source2OMe-LM: human RNA 2-prime-O-methylation site prediction 41-nt centred RNA windows; balanced 8,037 positive and 8,037 negative samples after 80% identity filtering, then 8:2 train/test division. Average of five validation folds of the training set. Aggregation: Not reported 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model · Table 1. (btaf417-T1), row 8 2OMe-LM, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC |
| Configuration: GloVe + TextCNN + MLP | Protocol: Human RNA 2OMe sites, five-fold cross-validation (human RNA 2-prime-O-methylation site prediction) Dataset: human RNA 2OMe sites | 0.842 AUC fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGloVe + TextCNN + MLP: Human RNA 2OMe sites, five-fold cross-validation 41-nt centred RNA windows; balanced 8,037 positive and 8,037 negative samples after 80% identity filtering, then 8:2 train/test division. Average of five validation folds of the training set. Aggregation: Not reported 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model · Table 1. (btaf417-T1), row 3 GloVe + TextCNN + MLP, column 6: Human RNA 2OMe sites, five-fold cross-validation AUC |
| Configuration: Word2Vec + Transformer + MLP | Protocol: Human RNA 2OMe sites, five-fold cross-validation (human RNA 2-prime-O-methylation site prediction) Dataset: human RNA 2OMe sites | 0.741 F1-score fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceWord2Vec + Transformer + MLP: Human RNA 2OMe sites, five-fold cross-validation 41-nt centred RNA windows; balanced 8,037 positive and 8,037 negative samples after 80% identity filtering, then 8:2 train/test division. Average of five validation folds of the training set. Aggregation: Not reported 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model · Table 1. (btaf417-T1), row 7 Word2Vec + Transformer + MLP, column 3: Human RNA 2OMe sites, five-fold cross-validation F1-score |
| Configuration: Word2vec + MLP | Protocol: Human RNA 2OMe sites, five-fold cross-validation (human RNA 2-prime-O-methylation site prediction) Dataset: human RNA 2OMe sites | 0.811 F1-score fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceWord2vec + MLP: Human RNA 2OMe sites, five-fold cross-validation 41-nt centred RNA windows; balanced 8,037 positive and 8,037 negative samples after 80% identity filtering, then 8:2 train/test division. Average of five validation folds of the training set. Aggregation: Not reported 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model · Table 1. (btaf417-T1), row 5 Word2vec + MLP, column 3: Human RNA 2OMe sites, five-fold cross-validation F1-score |
| Configuration: Word2vec + MLP | Protocol: Human RNA 2OMe sites, five-fold cross-validation (human RNA 2-prime-O-methylation site prediction) Dataset: human RNA 2OMe sites | 0.819 Precision fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceWord2vec + MLP: Human RNA 2OMe sites, five-fold cross-validation 41-nt centred RNA windows; balanced 8,037 positive and 8,037 negative samples after 80% identity filtering, then 8:2 train/test division. Average of five validation folds of the training set. Aggregation: Not reported 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model · Table 1. (btaf417-T1), row 5 Word2vec + MLP, column 4: Human RNA 2OMe sites, five-fold cross-validation Precision |
| Configuration: 2OMe-LM | Protocol: Human RNA 2OMe sites, five-fold cross-validation (human RNA 2-prime-O-methylation site prediction) Dataset: human RNA 2OMe sites |
0.811
Recall fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and source2OMe-LM: human RNA 2-prime-O-methylation site prediction 41-nt centred RNA windows; balanced 8,037 positive and 8,037 negative samples after 80% identity filtering, then 8:2 train/test division. Average of five validation folds of the training set. Aggregation: Not reported 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model · Table 1. (btaf417-T1), row 8 2OMe-LM, column 5: Human RNA 2OMe sites, five-fold cross-validation Recall |
| Configuration: 2OMe-LM | Protocol: Human RNA 2OMe sites, five-fold cross-validation (human RNA 2-prime-O-methylation site prediction) Dataset: human RNA 2OMe sites |
0.695
MCC unitless · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and source2OMe-LM: human RNA 2-prime-O-methylation site prediction 41-nt centred RNA windows; balanced 8,037 positive and 8,037 negative samples after 80% identity filtering, then 8:2 train/test division. Average of five validation folds of the training set. Aggregation: Not reported 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model · Table 1. (btaf417-T1), row 8 2OMe-LM, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC |
| Configuration: GloVe + TextCNN + MLP | Protocol: Human RNA 2OMe sites, five-fold cross-validation (human RNA 2-prime-O-methylation site prediction) Dataset: human RNA 2OMe sites | 0.746 ACC fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGloVe + TextCNN + MLP: Human RNA 2OMe sites, five-fold cross-validation 41-nt centred RNA windows; balanced 8,037 positive and 8,037 negative samples after 80% identity filtering, then 8:2 train/test division. Average of five validation folds of the training set. Aggregation: Not reported 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model · Table 1. (btaf417-T1), row 3 GloVe + TextCNN + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC |
| Configuration: GloVe + MLP | Protocol: Human RNA 2OMe sites, five-fold cross-validation (human RNA 2-prime-O-methylation site prediction) Dataset: human RNA 2OMe sites | 0.78 F1-score fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGloVe + MLP: Human RNA 2OMe sites, five-fold cross-validation 41-nt centred RNA windows; balanced 8,037 positive and 8,037 negative samples after 80% identity filtering, then 8:2 train/test division. Average of five validation folds of the training set. Aggregation: Not reported 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model · Table 1. (btaf417-T1), row 2 GloVe + MLP, column 3: Human RNA 2OMe sites, five-fold cross-validation F1-score |
| Configuration: Word2Vec + Transformer + MLP | Protocol: Human RNA 2OMe sites, five-fold cross-validation (human RNA 2-prime-O-methylation site prediction) Dataset: human RNA 2OMe sites | 0.833 AUPR fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceWord2Vec + Transformer + MLP: Human RNA 2OMe sites, five-fold cross-validation 41-nt centred RNA windows; balanced 8,037 positive and 8,037 negative samples after 80% identity filtering, then 8:2 train/test division. Average of five validation folds of the training set. Aggregation: Not reported 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model · Table 1. (btaf417-T1), row 7 Word2Vec + Transformer + MLP, column 7: Human RNA 2OMe sites, five-fold cross-validation AUPR |
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4 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.split 5-fold cross-validation Context-only references | 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model No field-specific location recorded Version: journal full text in PMC | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.version Not reported Context-only references | 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model No field-specific location recorded Version: journal full text in PMC | missing or unspecified No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| description No value recorded Context-only references | 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model No field-specific location recorded Version: journal full text in PMC | 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 human RNA 2OMe sites Context-only references | 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model No field-specific location recorded Version: journal full text in PMC | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
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Release 2026-09-29-06401fd5b220 · Record review: needs review
Stable ID: reported-dataset-bd3d8e7d6cd196