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Evaluation

2OMe-LM: human RNA 2-prime-O-methylation site prediction

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Release 2026-09-29-06401fd5b220 · Evidence verified: Not verified

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Evaluation results

1 evaluation · 7 results. Different protocols are not a single leaderboard.

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Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: 2OMe-LMProtocol: 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 checked
Methods, coverage and source

2OMe-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: 2OMe-LMProtocol: 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 checked
Methods, coverage and source

2OMe-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: 2OMe-LMProtocol: 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 checked
Methods, coverage and source

2OMe-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: 2OMe-LMProtocol: 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 checked
Methods, coverage and source

2OMe-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: 2OMe-LMProtocol: 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 checked
Methods, coverage and source

2OMe-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-LMProtocol: 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 checked
Methods, coverage and source

2OMe-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: 2OMe-LMProtocol: Human RNA 2OMe sites, five-fold cross-validation (human RNA 2-prime-O-methylation site prediction)
Dataset: human RNA 2OMe sites
0.841 F1-score
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

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

2OMe-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 3: Human RNA 2OMe sites, five-fold cross-validation F1-score

Source checking is not independent reproduction. Release 2026-09-29-06401fd5b220.

Evaluation procedure

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.

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
origin
Author-reported evaluation
configuration
Paper-specific predictor; checkpoint not specified
protocol id
paper-protocol-1e891689a18fea3b65
dataset version
Not reported
split
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.
subset
Not reported
population
Not reported
aggregation
Not reported
inputs
Not reported
adaptation
Paper-specific predictor; checkpoint not specified
budget
Not reported
metric implementation
Not reported

Metadata review: needs review. Unreported conditions prevent automatic comparisons.

Reproduction

Split
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.
Adaptation
Paper-specific predictor; checkpoint not specified
Scoring implementation
Not reported

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Reproducing this published result requires matching its model configuration, data, split and scorer. Source checking or a successful smoke test does not establish score reproduction.

Evidence

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Evidence table

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19 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-09-29-06401fd5b220
Property and statementOriginal source and locationReview and provenance
attributes.comparison.adaptation
Paper-specific predictor; checkpoint not specified
Context-only references
2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model

Original source ↗

Performance comparison of 2OMe-LM and deep learning baseline models using 5-fold CV. a; Table 1. (btaf417-T1), row 2 GloVe + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 3 GloVe + TextCNN + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 4 GloVe + Transformer + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 5 Word2vec + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 6 Word2vec + TextCNN + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 7 Word2Vec + Transformer + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 8 2OMe-LM, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC

Version: journal full text in PMC
Retrieved: 2026-09-16T10:33:38.332Z

not individually reviewed

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author reported

Audit details

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Inspected artifact

attributes.comparison.aggregation
Not reported
Context-only references
2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model

Original source ↗

Performance comparison of 2OMe-LM and deep learning baseline models using 5-fold CV. a; Table 1. (btaf417-T1), row 2 GloVe + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 3 GloVe + TextCNN + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 4 GloVe + Transformer + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 5 Word2vec + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 6 Word2vec + TextCNN + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 7 Word2Vec + Transformer + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 8 2OMe-LM, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC

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Inspected artifact

attributes.comparison.budget
Not reported
Context-only references
2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model

Original source ↗

Performance comparison of 2OMe-LM and deep learning baseline models using 5-fold CV. a; Table 1. (btaf417-T1), row 2 GloVe + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 3 GloVe + TextCNN + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 4 GloVe + Transformer + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 5 Word2vec + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 6 Word2vec + TextCNN + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 7 Word2Vec + Transformer + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 8 2OMe-LM, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC

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Inspected artifact

attributes.comparison.dataset_version
Not reported
Context-only references
2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model

Original source ↗

Performance comparison of 2OMe-LM and deep learning baseline models using 5-fold CV. a; Table 1. (btaf417-T1), row 2 GloVe + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 3 GloVe + TextCNN + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 4 GloVe + Transformer + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 5 Word2vec + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 6 Word2vec + TextCNN + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 7 Word2Vec + Transformer + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 8 2OMe-LM, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC

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Inspected artifact

attributes.comparison.inputs
Not reported
Context-only references
2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model

Original source ↗

Performance comparison of 2OMe-LM and deep learning baseline models using 5-fold CV. a; Table 1. (btaf417-T1), row 2 GloVe + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 3 GloVe + TextCNN + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 4 GloVe + Transformer + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 5 Word2vec + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 6 Word2vec + TextCNN + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 7 Word2Vec + Transformer + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 8 2OMe-LM, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC

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Inspected artifact

attributes.comparison.metric_implementation
Not reported
Context-only references
2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model

Original source ↗

Performance comparison of 2OMe-LM and deep learning baseline models using 5-fold CV. a; Table 1. (btaf417-T1), row 2 GloVe + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 3 GloVe + TextCNN + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 4 GloVe + Transformer + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 5 Word2vec + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 6 Word2vec + TextCNN + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 7 Word2Vec + Transformer + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 8 2OMe-LM, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC

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Inspected artifact

attributes.comparison.population
Not reported
Context-only references
2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model

Original source ↗

Performance comparison of 2OMe-LM and deep learning baseline models using 5-fold CV. a; Table 1. (btaf417-T1), row 2 GloVe + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 3 GloVe + TextCNN + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 4 GloVe + Transformer + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 5 Word2vec + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 6 Word2vec + TextCNN + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 7 Word2Vec + Transformer + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 8 2OMe-LM, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC

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Inspected artifact

attributes.comparison.protocol_id
paper-protocol-1e891689a18fea3b65
Context-only references
2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model

Original source ↗

Performance comparison of 2OMe-LM and deep learning baseline models using 5-fold CV. a; Table 1. (btaf417-T1), row 2 GloVe + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 3 GloVe + TextCNN + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 4 GloVe + Transformer + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 5 Word2vec + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 6 Word2vec + TextCNN + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 7 Word2Vec + Transformer + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 8 2OMe-LM, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC

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Inspected artifact

attributes.comparison.split
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.
Context-only references
2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model

Original source ↗

Performance comparison of 2OMe-LM and deep learning baseline models using 5-fold CV. a; Table 1. (btaf417-T1), row 2 GloVe + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 3 GloVe + TextCNN + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 4 GloVe + Transformer + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 5 Word2vec + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 6 Word2vec + TextCNN + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 7 Word2Vec + Transformer + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 8 2OMe-LM, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC

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Inspected artifact

attributes.comparison.subset
Not reported
Context-only references
2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model

Original source ↗

Performance comparison of 2OMe-LM and deep learning baseline models using 5-fold CV. a; Table 1. (btaf417-T1), row 2 GloVe + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 3 GloVe + TextCNN + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 4 GloVe + Transformer + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 5 Word2vec + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 6 Word2vec + TextCNN + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 7 Word2Vec + Transformer + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 8 2OMe-LM, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC

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Release 2026-09-29-06401fd5b220 · Record review: needs review

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Technical metadata and extraction receipts

Stable ID: evaluation-b2-2ome-lm-2025

areas
rna-transcriptomes
tasks
human RNA 2-prime-O-methylation site prediction
origin
author_reported
protocol
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.
version
Paper-specific predictor; checkpoint not specified
comparison
protocol id: paper-protocol-1e891689a18fea3b65; dataset version: Not reported; split: 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.; subset: Not reported; population: Not reported; aggregation: Not reported; inputs: Not reported; adaptation: Paper-specific predictor; checkpoint not specified; budget: Not reported; metric implementation: Not reported
missing metadata
checkpoint revision: unextracted; budget: unreported; split manifest: unextracted
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Performance comparison of 2OMe-LM and deep learning baseline models using 5-fold CV. a; Table 1. (btaf417-T1), row 2 GloVe + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 3 GloVe + TextCNN + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 4 GloVe + Transformer + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 5 Word2vec + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 6 Word2vec + TextCNN + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 7 Word2Vec + Transformer + MLP, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC; Table 1. (btaf417-T1), row 8 2OMe-LM, column 8: Human RNA 2OMe sites, five-fold cross-validation MCC
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