Dataset

GTEx-derived tissue-specific splice site usage dataset (You et al. 2026)

Human splice site usage across tissues derived from GTEx: 341,830 entries, 242,017 train and 99,813 test, with 53 categories.

Evaluation results

22 evaluations · 22 results. Different protocols are not a single leaderboard.

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Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: NucleotideTransformer fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: GTEx tissue-specific splicing prediction, Splice acceptors and donors (You et al. 2026 Supplementary Table 5) Dataset: GTEx-derived tissue-specific splice site usage dataset (You et al. 2026)	0.8826(0.0036) AUPRC (GTEx splicing task, Splice acceptors and donors, averaged over categories) fraction · higher Uncertainty: SD 0.0036 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NucleotideTransformer on the GTEx splicing task, Splice acceptors and donors gfm2-20261011-you2026-protocol-gtex-acceptors-donors Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 5, block 'Splice acceptors and donors', row 'NucleotideTransformer', column 'Average PR-AUC'
Configuration: RNAErnie fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: GTEx tissue-specific splicing prediction, Splice acceptors and donors (You et al. 2026 Supplementary Table 5) Dataset: GTEx-derived tissue-specific splice site usage dataset (You et al. 2026)	0.8063(0.0015) AUPRC (GTEx splicing task, Splice acceptors and donors, averaged over categories) fraction · higher Uncertainty: SD 0.0015 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source RNAErnie on the GTEx splicing task, Splice acceptors and donors gfm2-20261011-you2026-protocol-gtex-acceptors-donors Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 5, block 'Splice acceptors and donors', row 'RNAErnie', column 'Average PR-AUC'
Configuration: RNAFM fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: GTEx tissue-specific splicing prediction, Splice acceptors and donors (You et al. 2026 Supplementary Table 5) Dataset: GTEx-derived tissue-specific splice site usage dataset (You et al. 2026)	0.7959(0.0011) AUPRC (GTEx splicing task, Splice acceptors and donors, averaged over categories) fraction · higher Uncertainty: SD 0.0011 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source RNAFM on the GTEx splicing task, Splice acceptors and donors gfm2-20261011-you2026-protocol-gtex-acceptors-donors Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 5, block 'Splice acceptors and donors', row 'RNAFM', column 'Average PR-AUC'
Configuration: RNAMSM fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: GTEx tissue-specific splicing prediction, Splice acceptors and donors (You et al. 2026 Supplementary Table 5) Dataset: GTEx-derived tissue-specific splice site usage dataset (You et al. 2026)	0.8094(0.0010) AUPRC (GTEx splicing task, Splice acceptors and donors, averaged over categories) fraction · higher Uncertainty: SD 0.0010 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source RNAMSM on the GTEx splicing task, Splice acceptors and donors gfm2-20261011-you2026-protocol-gtex-acceptors-donors Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 5, block 'Splice acceptors and donors', row 'RNAMSM', column 'Average PR-AUC'
Configuration: SpliceAI retrained under the authors' framework (You et al. 2026)	Protocol: GTEx tissue-specific splicing prediction, Splice acceptors and donors (You et al. 2026 Supplementary Table 5) Dataset: GTEx-derived tissue-specific splice site usage dataset (You et al. 2026)	0.8622(0.0000) AUPRC (GTEx splicing task, Splice acceptors and donors, averaged over categories) fraction · higher Uncertainty: SD 0.0000 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SpliceAI on the GTEx splicing task, Splice acceptors and donors gfm2-20261011-you2026-protocol-gtex-acceptors-donors Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 5, block 'Splice acceptors and donors', row 'SpliceAI', column 'Average PR-AUC'
Configuration: SpliceBERT fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: GTEx tissue-specific splicing prediction, Splice acceptors and donors (You et al. 2026 Supplementary Table 5) Dataset: GTEx-derived tissue-specific splice site usage dataset (You et al. 2026)	0.8317(0.0096) AUPRC (GTEx splicing task, Splice acceptors and donors, averaged over categories) fraction · higher Uncertainty: SD 0.0096 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SpliceBERT on the GTEx splicing task, Splice acceptors and donors gfm2-20261011-you2026-protocol-gtex-acceptors-donors Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 5, block 'Splice acceptors and donors', row 'SpliceBERT', column 'Average PR-AUC'
Configuration: SpTransformer retrained under the authors' framework (You et al. 2026)	Protocol: GTEx tissue-specific splicing prediction, Splice acceptors and donors (You et al. 2026 Supplementary Table 5) Dataset: GTEx-derived tissue-specific splice site usage dataset (You et al. 2026)	0.8841(0.0018) AUPRC (GTEx splicing task, Splice acceptors and donors, averaged over categories) fraction · higher Uncertainty: SD 0.0018 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source SpTransformer on the GTEx splicing task, Splice acceptors and donors gfm2-20261011-you2026-protocol-gtex-acceptors-donors Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 5, block 'Splice acceptors and donors', row 'SpTransformer', column 'Average PR-AUC'
Configuration: UTRLM fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: GTEx tissue-specific splicing prediction, Splice acceptors and donors (You et al. 2026 Supplementary Table 5) Dataset: GTEx-derived tissue-specific splice site usage dataset (You et al. 2026)	0.8334(0.0000) AUPRC (GTEx splicing task, Splice acceptors and donors, averaged over categories) fraction · higher Uncertainty: SD 0.0000 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source UTRLM on the GTEx splicing task, Splice acceptors and donors gfm2-20261011-you2026-protocol-gtex-acceptors-donors Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 5, block 'Splice acceptors and donors', row 'UTRLM', column 'Average PR-AUC'
Configuration: NucleotideTransformer fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: GTEx tissue-specific splicing prediction, Splice-15class (You et al. 2026 Supplementary Table 5) Dataset: GTEx-derived tissue-specific splice site usage dataset (You et al. 2026)	0.8646(0.0032) AUPRC (GTEx splicing task, Splice-15class, averaged over categories) fraction · higher Uncertainty: SD 0.0032 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NucleotideTransformer on the GTEx splicing task, Splice-15class gfm2-20261011-you2026-protocol-gtex-splice-15class Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 5, block 'Splice-15class', row 'NucleotideTransformer', column 'Average PR-AUC'
Configuration: RNAErnie fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: GTEx tissue-specific splicing prediction, Splice-15class (You et al. 2026 Supplementary Table 5) Dataset: GTEx-derived tissue-specific splice site usage dataset (You et al. 2026)	0.6868(0.0055) AUPRC (GTEx splicing task, Splice-15class, averaged over categories) fraction · higher Uncertainty: SD 0.0055 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source RNAErnie on the GTEx splicing task, Splice-15class gfm2-20261011-you2026-protocol-gtex-splice-15class Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 5, block 'Splice-15class', row 'RNAErnie', column 'Average PR-AUC'
Configuration: RNAFM fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: GTEx tissue-specific splicing prediction, Splice-15class (You et al. 2026 Supplementary Table 5) Dataset: GTEx-derived tissue-specific splice site usage dataset (You et al. 2026)	0.6770(0.0033) AUPRC (GTEx splicing task, Splice-15class, averaged over categories) fraction · higher Uncertainty: SD 0.0033 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source RNAFM on the GTEx splicing task, Splice-15class gfm2-20261011-you2026-protocol-gtex-splice-15class Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 5, block 'Splice-15class', row 'RNAFM', column 'Average PR-AUC'
Configuration: RNAMSM fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: GTEx tissue-specific splicing prediction, Splice-15class (You et al. 2026 Supplementary Table 5) Dataset: GTEx-derived tissue-specific splice site usage dataset (You et al. 2026)	0.6907(0.0044) AUPRC (GTEx splicing task, Splice-15class, averaged over categories) fraction · higher Uncertainty: SD 0.0044 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source RNAMSM on the GTEx splicing task, Splice-15class gfm2-20261011-you2026-protocol-gtex-splice-15class Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 5, block 'Splice-15class', row 'RNAMSM', column 'Average PR-AUC'
Configuration: SpliceBERT fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: GTEx tissue-specific splicing prediction, Splice-15class (You et al. 2026 Supplementary Table 5) Dataset: GTEx-derived tissue-specific splice site usage dataset (You et al. 2026)	0.7538(0.0014) AUPRC (GTEx splicing task, Splice-15class, averaged over categories) fraction · higher Uncertainty: SD 0.0014 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SpliceBERT on the GTEx splicing task, Splice-15class gfm2-20261011-you2026-protocol-gtex-splice-15class Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 5, block 'Splice-15class', row 'SpliceBERT', column 'Average PR-AUC'
Configuration: SpTransformer retrained under the authors' framework (You et al. 2026)	Protocol: GTEx tissue-specific splicing prediction, Splice-15class (You et al. 2026 Supplementary Table 5) Dataset: GTEx-derived tissue-specific splice site usage dataset (You et al. 2026)	0.8568(0.0005) AUPRC (GTEx splicing task, Splice-15class, averaged over categories) fraction · higher Uncertainty: SD 0.0005 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source SpTransformer on the GTEx splicing task, Splice-15class gfm2-20261011-you2026-protocol-gtex-splice-15class Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 5, block 'Splice-15class', row 'SpTransformer', column 'Average PR-AUC'
Configuration: UTRLM fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: GTEx tissue-specific splicing prediction, Splice-15class (You et al. 2026 Supplementary Table 5) Dataset: GTEx-derived tissue-specific splice site usage dataset (You et al. 2026)	0.7367(0.0000) AUPRC (GTEx splicing task, Splice-15class, averaged over categories) fraction · higher Uncertainty: SD 0.0000 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source UTRLM on the GTEx splicing task, Splice-15class gfm2-20261011-you2026-protocol-gtex-splice-15class Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 5, block 'Splice-15class', row 'UTRLM', column 'Average PR-AUC'
Configuration: NucleotideTransformer fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: GTEx tissue-specific splicing prediction, Splice-53class (You et al. 2026 Supplementary Table 5) Dataset: GTEx-derived tissue-specific splice site usage dataset (You et al. 2026)	0.8634(0.0004) AUPRC (GTEx splicing task, Splice-53class, averaged over categories) fraction · higher Uncertainty: SD 0.0004 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NucleotideTransformer on the GTEx splicing task, Splice-53class gfm2-20261011-you2026-protocol-gtex-splice-53class Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 5, block 'Splice-53class', row 'NucleotideTransformer', column 'Average PR-AUC'
Configuration: RNAErnie fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: GTEx tissue-specific splicing prediction, Splice-53class (You et al. 2026 Supplementary Table 5) Dataset: GTEx-derived tissue-specific splice site usage dataset (You et al. 2026)	0.6851(0.0182) AUPRC (GTEx splicing task, Splice-53class, averaged over categories) fraction · higher Uncertainty: SD 0.0182 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source RNAErnie on the GTEx splicing task, Splice-53class gfm2-20261011-you2026-protocol-gtex-splice-53class Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 5, block 'Splice-53class', row 'RNAErnie', column 'Average PR-AUC'
Configuration: RNAFM fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: GTEx tissue-specific splicing prediction, Splice-53class (You et al. 2026 Supplementary Table 5) Dataset: GTEx-derived tissue-specific splice site usage dataset (You et al. 2026)	0.6844(0.0035) AUPRC (GTEx splicing task, Splice-53class, averaged over categories) fraction · higher Uncertainty: SD 0.0035 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source RNAFM on the GTEx splicing task, Splice-53class gfm2-20261011-you2026-protocol-gtex-splice-53class Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 5, block 'Splice-53class', row 'RNAFM', column 'Average PR-AUC'
Configuration: RNAMSM fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: GTEx tissue-specific splicing prediction, Splice-53class (You et al. 2026 Supplementary Table 5) Dataset: GTEx-derived tissue-specific splice site usage dataset (You et al. 2026)	0.6955(0.0094) AUPRC (GTEx splicing task, Splice-53class, averaged over categories) fraction · higher Uncertainty: SD 0.0094 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source RNAMSM on the GTEx splicing task, Splice-53class gfm2-20261011-you2026-protocol-gtex-splice-53class Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 5, block 'Splice-53class', row 'RNAMSM', column 'Average PR-AUC'
Configuration: SpliceBERT fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: GTEx tissue-specific splicing prediction, Splice-53class (You et al. 2026 Supplementary Table 5) Dataset: GTEx-derived tissue-specific splice site usage dataset (You et al. 2026)	0.7387(0.0020) AUPRC (GTEx splicing task, Splice-53class, averaged over categories) fraction · higher Uncertainty: SD 0.0020 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SpliceBERT on the GTEx splicing task, Splice-53class gfm2-20261011-you2026-protocol-gtex-splice-53class Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 5, block 'Splice-53class', row 'SpliceBERT', column 'Average PR-AUC'
Configuration: SpTransformer retrained under the authors' framework (You et al. 2026)	Protocol: GTEx tissue-specific splicing prediction, Splice-53class (You et al. 2026 Supplementary Table 5) Dataset: GTEx-derived tissue-specific splice site usage dataset (You et al. 2026)	0.8552(0.0053) AUPRC (GTEx splicing task, Splice-53class, averaged over categories) fraction · higher Uncertainty: SD 0.0053 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source SpTransformer on the GTEx splicing task, Splice-53class gfm2-20261011-you2026-protocol-gtex-splice-53class Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 5, block 'Splice-53class', row 'SpTransformer', column 'Average PR-AUC'
Configuration: UTRLM fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: GTEx tissue-specific splicing prediction, Splice-53class (You et al. 2026 Supplementary Table 5) Dataset: GTEx-derived tissue-specific splice site usage dataset (You et al. 2026)	0.7244(0.0000) AUPRC (GTEx splicing task, Splice-53class, averaged over categories) fraction · higher Uncertainty: SD 0.0000 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source UTRLM on the GTEx splicing task, Splice-53class gfm2-20261011-you2026-protocol-gtex-splice-53class Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 5, block 'Splice-53class', row 'UTRLM', column 'Average PR-AUC'

Source checking is not independent reproduction. Release 2026-10-22-1b7cf027e4f6.

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Release 2026-10-22-1b7cf027e4f6 · Evidence verified: Not verified

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Evidence

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Evidence table

Inspect claims, sources and review details

Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.

One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.

14 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-10-22-1b7cf027e4f6
Property and statement	Original source and location	Review and provenance
Population Human; 53 categories; 341,830 entries Context-only references	Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications Original source ↗ Table 1, 'Splicing prediction', row 'GTEx Dataset'; Methods, 'Construction of tissue-specific alternative splicing prediction task' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Nat Commun 17:223, published online 2025-12-07; PMC12780105 full-text XML Retrieved: 2026-10-11T00:55:34Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.population` Source artifact SHA-256: `2c6b2816846a21296c56b4dd58f3d1e8810e9d96e224d3ab21b5eb8faa9928e4` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Population Human; 53 categories; 341,830 entries Context-only references	You et al. 2026, Supplementary Information Original source ↗ Table 1, 'Splicing prediction', row 'GTEx Dataset'; Methods, 'Construction of tissue-specific alternative splicing prediction task' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 41467_2025_66899_MOESM1_ESM.pdf inside the Europe PMC supplementaryFiles zip (outer zip 9a0d0a8d8643872ab265e3e6ed7eea944563da4861bf764f97c68fc6aa502525, assembled per request; the member hash is the bound artifact) Retrieved: 2026-10-11T00:55:34Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.population` Source artifact SHA-256: `cbb69e05045a4526e35479d2c1361ebb9cfadfd968e00675390dad597035d882` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Source location Table 1, 'Splicing prediction', row 'GTEx Dataset'; Methods, 'Construction of tissue-specific alternative splicing prediction task' Context-only references	Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications Original source ↗ Table 1, 'Splicing prediction', row 'GTEx Dataset'; Methods, 'Construction of tissue-specific alternative splicing prediction task' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Nat Commun 17:223, published online 2025-12-07; PMC12780105 full-text XML Retrieved: 2026-10-11T00:55:34Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.source_locator` Source artifact SHA-256: `2c6b2816846a21296c56b4dd58f3d1e8810e9d96e224d3ab21b5eb8faa9928e4` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Source location Table 1, 'Splicing prediction', row 'GTEx Dataset'; Methods, 'Construction of tissue-specific alternative splicing prediction task' Context-only references	You et al. 2026, Supplementary Information Original source ↗ Table 1, 'Splicing prediction', row 'GTEx Dataset'; Methods, 'Construction of tissue-specific alternative splicing prediction task' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 41467_2025_66899_MOESM1_ESM.pdf inside the Europe PMC supplementaryFiles zip (outer zip 9a0d0a8d8643872ab265e3e6ed7eea944563da4861bf764f97c68fc6aa502525, assembled per request; the member hash is the bound artifact) Retrieved: 2026-10-11T00:55:34Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.source_locator` Source artifact SHA-256: `cbb69e05045a4526e35479d2c1361ebb9cfadfd968e00675390dad597035d882` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Split 242,017 train / 99,813 test Context-only references	Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications Original source ↗ Table 1, 'Splicing prediction', row 'GTEx Dataset'; Methods, 'Construction of tissue-specific alternative splicing prediction task' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Nat Commun 17:223, published online 2025-12-07; PMC12780105 full-text XML Retrieved: 2026-10-11T00:55:34Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.split` Source artifact SHA-256: `2c6b2816846a21296c56b4dd58f3d1e8810e9d96e224d3ab21b5eb8faa9928e4` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Split 242,017 train / 99,813 test Context-only references	You et al. 2026, Supplementary Information Original source ↗ Table 1, 'Splicing prediction', row 'GTEx Dataset'; Methods, 'Construction of tissue-specific alternative splicing prediction task' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 41467_2025_66899_MOESM1_ESM.pdf inside the Europe PMC supplementaryFiles zip (outer zip 9a0d0a8d8643872ab265e3e6ed7eea944563da4861bf764f97c68fc6aa502525, assembled per request; the member hash is the bound artifact) Retrieved: 2026-10-11T00:55:34Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.split` Source artifact SHA-256: `cbb69e05045a4526e35479d2c1361ebb9cfadfd968e00675390dad597035d882` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Total 341830 Context-only references	Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications Original source ↗ Table 1, 'Splicing prediction', row 'GTEx Dataset'; Methods, 'Construction of tissue-specific alternative splicing prediction task' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Nat Commun 17:223, published online 2025-12-07; PMC12780105 full-text XML Retrieved: 2026-10-11T00:55:34Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.total` Source artifact SHA-256: `2c6b2816846a21296c56b4dd58f3d1e8810e9d96e224d3ab21b5eb8faa9928e4` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Total 341830 Context-only references	You et al. 2026, Supplementary Information Original source ↗ Table 1, 'Splicing prediction', row 'GTEx Dataset'; Methods, 'Construction of tissue-specific alternative splicing prediction task' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 41467_2025_66899_MOESM1_ESM.pdf inside the Europe PMC supplementaryFiles zip (outer zip 9a0d0a8d8643872ab265e3e6ed7eea944563da4861bf764f97c68fc6aa502525, assembled per request; the member hash is the bound artifact) Retrieved: 2026-10-11T00:55:34Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.total` Source artifact SHA-256: `cbb69e05045a4526e35479d2c1361ebb9cfadfd968e00675390dad597035d882` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Version As constructed by You et al. 2026 from GTEx Context-only references	Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications Original source ↗ Table 1, 'Splicing prediction', row 'GTEx Dataset'; Methods, 'Construction of tissue-specific alternative splicing prediction task' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Nat Commun 17:223, published online 2025-12-07; PMC12780105 full-text XML Retrieved: 2026-10-11T00:55:34Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.version` Source artifact SHA-256: `2c6b2816846a21296c56b4dd58f3d1e8810e9d96e224d3ab21b5eb8faa9928e4` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Version As constructed by You et al. 2026 from GTEx Context-only references	You et al. 2026, Supplementary Information Original source ↗ Table 1, 'Splicing prediction', row 'GTEx Dataset'; Methods, 'Construction of tissue-specific alternative splicing prediction task' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 41467_2025_66899_MOESM1_ESM.pdf inside the Europe PMC supplementaryFiles zip (outer zip 9a0d0a8d8643872ab265e3e6ed7eea944563da4861bf764f97c68fc6aa502525, assembled per request; the member hash is the bound artifact) Retrieved: 2026-10-11T00:55:34Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.version` Source artifact SHA-256: `cbb69e05045a4526e35479d2c1361ebb9cfadfd968e00675390dad597035d882` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact

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Release 2026-10-22-1b7cf027e4f6 · Record review: source checked

2 source records and release history

Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications · Original source · Nat Commun 17:223, published online 2025-12-07; PMC12780105 full-text XML
You et al. 2026, Supplementary Information · Original source · 41467_2025_66899_MOESM1_ESM.pdf inside the Europe PMC supplementaryFiles zip (outer zip 9a0d0a8d8643872ab265e3e6ed7eea944563da4861bf764f97c68fc6aa502525, assembled per request; the member hash is the bound artifact)

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Technical metadata and extraction receipts

Stable ID: gfm2-20261011-you2026-data-gtex

areas: dna-genomes
contexts: research
version: As constructed by You et al. 2026 from GTEx
split: 242,017 train / 99,813 test
population: Human; 53 categories; 341,830 entries
total: 341830
source locator: Table 1, 'Splicing prediction', row 'GTEx Dataset'; Methods, 'Construction of tissue-specific alternative splicing prediction task'

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