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Human RNA 2OMe sites, five-fold cross-validation (human RNA 2-prime-O-methylation site prediction): links:evaluates_task:reported-task-82fc7843f07324

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Claims, original sources and review scope · Release 2026-09-17-d277315f7d76
Property and statement	Original source and location	Review and provenance
attributes.field links:evaluates_task:reported-task-82fc7843f07324 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 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 3 GloVe + TextCNN + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 4 GloVe + Transformer + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 5 Word2vec + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 6 Word2vec + TextCNN + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 7 Word2Vec + Transformer + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 8 2OMe-LM, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC Version: journal full text in PMC Retrieved: 2026-09-16T10:33:38.332Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.field` Source artifact SHA-256: `54fe4db6f35c03d0d4f3ef4da720eb26a832199372c56d0956609ff07af750ee` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.source_locator Performance comparison of 2OMe-LM and deep learning baseline models using 5-fold CV. a; Table 1. (btaf417-T1), row 2 GloVe + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 3 GloVe + TextCNN + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 4 GloVe + Transformer + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 5 Word2vec + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 6 Word2vec + TextCNN + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 7 Word2Vec + Transformer + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 8 2OMe-LM, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC 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 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 3 GloVe + TextCNN + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 4 GloVe + Transformer + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 5 Word2vec + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 6 Word2vec + TextCNN + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 7 Word2Vec + Transformer + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 8 2OMe-LM, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC Version: journal full text in PMC Retrieved: 2026-09-16T10:33:38.332Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.source_locator` Source artifact SHA-256: `54fe4db6f35c03d0d4f3ef4da720eb26a832199372c56d0956609ff07af750ee` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.value reported-task-82fc7843f07324 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 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 3 GloVe + TextCNN + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 4 GloVe + Transformer + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 5 Word2vec + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 6 Word2vec + TextCNN + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 7 Word2Vec + Transformer + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 8 2OMe-LM, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC Version: journal full text in PMC Retrieved: 2026-09-16T10:33:38.332Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.value` Source artifact SHA-256: `54fe4db6f35c03d0d4f3ef4da720eb26a832199372c56d0956609ff07af750ee` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
description Source-backed metadata or reviewed relationship. 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 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 3 GloVe + TextCNN + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 4 GloVe + Transformer + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 5 Word2vec + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 6 Word2vec + TextCNN + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 7 Word2Vec + Transformer + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 8 2OMe-LM, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC Version: journal full text in PMC Retrieved: 2026-09-16T10:33:38.332Z	not individually reviewed No individual claim review recorded Audit details Field: `description` Source artifact SHA-256: `54fe4db6f35c03d0d4f3ef4da720eb26a832199372c56d0956609ff07af750ee` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Relationship: subject 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 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 3 GloVe + TextCNN + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 4 GloVe + Transformer + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 5 Word2vec + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 6 Word2vec + TextCNN + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 7 Word2Vec + Transformer + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 8 2OMe-LM, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC Version: journal full text in PMC Retrieved: 2026-09-16T10:33:38.332Z	not individually reviewed No individual claim review recorded Audit details Field: `links:subject:paper-protocol-1e891689a18fea3b65` Source artifact SHA-256: `54fe4db6f35c03d0d4f3ef4da720eb26a832199372c56d0956609ff07af750ee` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
name Human RNA 2OMe sites, five-fold cross-validation (human RNA 2-prime-O-methylation site prediction): links:evaluates_task:reported-task-82fc7843f07324 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 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 3 GloVe + TextCNN + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 4 GloVe + Transformer + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 5 Word2vec + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 6 Word2vec + TextCNN + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 7 Word2Vec + Transformer + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 8 2OMe-LM, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC Version: journal full text in PMC Retrieved: 2026-09-16T10:33:38.332Z	not individually reviewed No individual claim review recorded Audit details Field: `name` Source artifact SHA-256: `54fe4db6f35c03d0d4f3ef4da720eb26a832199372c56d0956609ff07af750ee` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact

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Release 2026-09-17-d277315f7d76 · Record review: source checked

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2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model · Original source · journal full text in PMC

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Stable ID: paper-claim-57f32b2ec51b3e840d

field: links:evaluates_task:reported-task-82fc7843f07324
value: reported-task-82fc7843f07324
source locator: Performance comparison of 2OMe-LM and deep learning baseline models using 5-fold CV. a; Table 1. (btaf417-T1), row 2 GloVe + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 3 GloVe + TextCNN + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 4 GloVe + Transformer + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 5 Word2vec + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 6 Word2vec + TextCNN + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 7 Word2Vec + Transformer + MLP, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC; Table 1. (btaf417-T1), row 8 2OMe-LM, column 2: Human RNA 2OMe sites, five-fold cross-validation ACC
review: method: automated_source_review; date: 2026-09-17

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subject: Human RNA 2OMe sites, five-fold cross-validation (human RNA 2-prime-O-methylation site prediction)

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