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SpliceAI (Drost et al.)

SpliceAI precomputed scores as used by Drost et al.

3 evaluations · 24 results

Overview

SpliceAI precomputed scores as used by Drost et al.

Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.

Evaluations and results

3 evaluations · 24 results. Different protocols are not a single leaderboard.

Filter evaluations

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: SpliceAI (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.956 auprc
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

SpliceAI on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S3 'Stratified datasets', Dataset 'CAGI6', cell I9; row SpliceAI, column AUPRC
Configuration: SpliceAI (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.909 auroc
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

SpliceAI on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S3 'Stratified datasets', Dataset 'CAGI6', cell H9; row SpliceAI, column AUROC
Configuration: SpliceAI (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.889 f1-score
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

SpliceAI on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell F22; row SpliceAI, column F1
Configuration: SpliceAI (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.762 negative-predictive-value
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

SpliceAI on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell H22; row SpliceAI, column Neg Pred Value
Configuration: SpliceAI (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.914 precision
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

SpliceAI on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell G22; row SpliceAI, column Pos Pred Value
Configuration: SpliceAI (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.914 precision
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

SpliceAI on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell E22; row SpliceAI, column Precision
Configuration: SpliceAI (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.865 recall
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

SpliceAI on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell C22; row SpliceAI, column Sensitivity (Recall)
Configuration: SpliceAI (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.842 specificity
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

SpliceAI on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell D22; row SpliceAI, column Specificity
Configuration: SpliceAI (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, in-house diagnostic cohort (Drost et al. Data S1)
Dataset: Drost et al. in-house RNA-tested diagnostic variants, scorable subset
0.942 auprc
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

SpliceAI on in-house scorable variants (count not printed)

rna-splicing-20261009-protocol-drost2025-inhouse

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S3 'Stratified datasets', Dataset 'In House', cell I14; row SpliceAI, column AUPRC
Configuration: SpliceAI (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, in-house diagnostic cohort (Drost et al. Data S1)
Dataset: Drost et al. in-house RNA-tested diagnostic variants, scorable subset
0.893 auroc
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

SpliceAI on in-house scorable variants (count not printed)

rna-splicing-20261009-protocol-drost2025-inhouse

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S3 'Stratified datasets', Dataset 'In House', cell H14; row SpliceAI, column AUROC
Configuration: SpliceAI (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, in-house diagnostic cohort (Drost et al. Data S1)
Dataset: Drost et al. in-house RNA-tested diagnostic variants, scorable subset
0.858 f1-score
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

SpliceAI on in-house scorable variants (count not printed)

rna-splicing-20261009-protocol-drost2025-inhouse

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'In House dataset', cell F35; row SpliceAI, column F1
Configuration: SpliceAI (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, in-house diagnostic cohort (Drost et al. Data S1)
Dataset: Drost et al. in-house RNA-tested diagnostic variants, scorable subset
0.769 negative-predictive-value
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

SpliceAI on in-house scorable variants (count not printed)

rna-splicing-20261009-protocol-drost2025-inhouse

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'In House dataset', cell H35; row SpliceAI, column Neg Pred Value
Configuration: SpliceAI (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, in-house diagnostic cohort (Drost et al. Data S1)
Dataset: Drost et al. in-house RNA-tested diagnostic variants, scorable subset
0.844 precision
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

SpliceAI on in-house scorable variants (count not printed)

rna-splicing-20261009-protocol-drost2025-inhouse

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'In House dataset', cell G35; row SpliceAI, column Pos Pred Value
Configuration: SpliceAI (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, in-house diagnostic cohort (Drost et al. Data S1)
Dataset: Drost et al. in-house RNA-tested diagnostic variants, scorable subset
0.844 precision
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

SpliceAI on in-house scorable variants (count not printed)

rna-splicing-20261009-protocol-drost2025-inhouse

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'In House dataset', cell E35; row SpliceAI, column Precision
Configuration: SpliceAI (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, in-house diagnostic cohort (Drost et al. Data S1)
Dataset: Drost et al. in-house RNA-tested diagnostic variants, scorable subset
0.873 recall
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

SpliceAI on in-house scorable variants (count not printed)

rna-splicing-20261009-protocol-drost2025-inhouse

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'In House dataset', cell C35; row SpliceAI, column Sensitivity (Recall)
Configuration: SpliceAI (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, in-house diagnostic cohort (Drost et al. Data S1)
Dataset: Drost et al. in-house RNA-tested diagnostic variants, scorable subset
0.725 specificity
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

SpliceAI on in-house scorable variants (count not printed)

rna-splicing-20261009-protocol-drost2025-inhouse

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'In House dataset', cell D35; row SpliceAI, column Specificity
Configuration: SpliceAI (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, all 243 scorable variants (Drost et al. Data S1)
Dataset: Drost et al. RNA-tested clinical variants plus CAGI6 Splicing VUS, 243 scorable
0.943 auprc
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

SpliceAI on 243 scorable variants (in-house plus CAGI6)

rna-splicing-20261009-protocol-drost2025-merged-243

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S3 'Entire Dataset', cell D12; row SpliceAI, column AUPRC
Configuration: SpliceAI (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, all 243 scorable variants (Drost et al. Data S1)
Dataset: Drost et al. RNA-tested clinical variants plus CAGI6 Splicing VUS, 243 scorable
0.895 auroc
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

SpliceAI on 243 scorable variants (in-house plus CAGI6)

rna-splicing-20261009-protocol-drost2025-merged-243

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S3 'Entire Dataset', cell C12; row SpliceAI, column AUROC
Configuration: SpliceAI (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, all 243 scorable variants (Drost et al. Data S1)
Dataset: Drost et al. RNA-tested clinical variants plus CAGI6 Splicing VUS, 243 scorable
0.865 f1-score
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

SpliceAI on 243 scorable variants (in-house plus CAGI6)

rna-splicing-20261009-protocol-drost2025-merged-243

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'Entire Dataset', cell F9; row SpliceAI, column F1
Configuration: SpliceAI (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, all 243 scorable variants (Drost et al. Data S1)
Dataset: Drost et al. RNA-tested clinical variants plus CAGI6 Splicing VUS, 243 scorable
0.767 negative-predictive-value
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

SpliceAI on 243 scorable variants (in-house plus CAGI6)

rna-splicing-20261009-protocol-drost2025-merged-243

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'Entire Dataset', cell H9; row SpliceAI, column Neg Pred Value
Configuration: SpliceAI (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, all 243 scorable variants (Drost et al. Data S1)
Dataset: Drost et al. RNA-tested clinical variants plus CAGI6 Splicing VUS, 243 scorable
0.86 precision
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

SpliceAI on 243 scorable variants (in-house plus CAGI6)

rna-splicing-20261009-protocol-drost2025-merged-243

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'Entire Dataset', cell G9; row SpliceAI, column Pos Pred Value
Configuration: SpliceAI (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, all 243 scorable variants (Drost et al. Data S1)
Dataset: Drost et al. RNA-tested clinical variants plus CAGI6 Splicing VUS, 243 scorable
0.86 precision
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

SpliceAI on 243 scorable variants (in-house plus CAGI6)

rna-splicing-20261009-protocol-drost2025-merged-243

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'Entire Dataset', cell E9; row SpliceAI, column Precision
Configuration: SpliceAI (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, all 243 scorable variants (Drost et al. Data S1)
Dataset: Drost et al. RNA-tested clinical variants plus CAGI6 Splicing VUS, 243 scorable
0.871 recall
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

SpliceAI on 243 scorable variants (in-house plus CAGI6)

rna-splicing-20261009-protocol-drost2025-merged-243

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'Entire Dataset', cell C9; row SpliceAI, column Sensitivity (Recall)
Configuration: SpliceAI (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, all 243 scorable variants (Drost et al. Data S1)
Dataset: Drost et al. RNA-tested clinical variants plus CAGI6 Splicing VUS, 243 scorable
0.75 specificity
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

SpliceAI on 243 scorable variants (in-house plus CAGI6)

rna-splicing-20261009-protocol-drost2025-merged-243

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'Entire Dataset', cell D9; row SpliceAI, column Specificity

Source checking is not independent reproduction. Release 2026-10-09-ba02f2f4a36e.

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Evidence

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Evidence table

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Sources and history

Release 2026-10-09-ba02f2f4a36e · Record review: source checked

2 source records and release historyDownload this release (gzip)
Technical metadata and extraction receipts

Stable ID: rna-splicing-20261009-config-drost2025-spliceai

areas
dna-genomes
contexts
clinical_research
method types
supervised_machine_learning
reported name
SpliceAI (Drost et al.)
foundation model eligible
false
missing metadata
version: reason: unreported; note: SpliceAI release not printed; precomputed scores were taken from WGSA version 0.95, with missing annotations filled from the SpliceAI Lookup web page.
parameters
Binary predictions at the literature threshold 0.12
source locator
Methods 'In silico splice predictions'; Results paragraph 3
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