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SpliceAI (Znabu et al. 2026)

SpliceAI (Znabu et al. 2026) as run in the cited comparison.

Overview

SpliceAI (Znabu et al. 2026) as run in the cited comparison.

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

Evaluations and results

1 evaluation · 3 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: SpliceAI (Znabu et al. 2026)	Protocol: MFASS splice-disrupting variant detection, all 27,733 labelled SNVs (Znabu et al. 2026) Dataset: MFASS v2 eligible assay cohort	0.321 average-precision unitless · higher Uncertainty: 95% CI 0.293 to 0.353 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SpliceAI on all labelled MFASS SNVs splicing-follow-up-20261009-protocol-znabu2026-mfass-full-cohort Aggregation: Not reported A Reproducible MFASS Benchmark of Splice-Disruption Predictors Reveals a Shared Exon-Interior Blind Spot · Section 4 'Results' table (page 3), row 'SpliceAI', columns 'AP' and 'AP 95% CI'
Configuration: SpliceAI (Znabu et al. 2026)	Protocol: MFASS splice-disrupting variant detection, all 27,733 labelled SNVs (Znabu et al. 2026) Dataset: MFASS v2 eligible assay cohort	0.819 auroc unitless · 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 all labelled MFASS SNVs splicing-follow-up-20261009-protocol-znabu2026-mfass-full-cohort Aggregation: Not reported A Reproducible MFASS Benchmark of Splice-Disruption Predictors Reveals a Shared Exon-Interior Blind Spot · Section 4 'Results' table (page 3), row 'SpliceAI', column 'AUROC'
Configuration: SpliceAI (Znabu et al. 2026)	Protocol: MFASS splice-disrupting variant detection, all 27,733 labelled SNVs (Znabu et al. 2026) Dataset: MFASS v2 eligible assay cohort	27,733 count count · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SpliceAI on all labelled MFASS SNVs splicing-follow-up-20261009-protocol-znabu2026-mfass-full-cohort Aggregation: Not reported A Reproducible MFASS Benchmark of Splice-Disruption Predictors Reveals a Shared Exon-Interior Blind Spot · Section 4 'Results' table (page 3), row 'SpliceAI', column 'n'

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Sources and history

Release 2026-10-10-6e93f504adfc · Record review: source checked

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A Reproducible MFASS Benchmark of Splice-Disruption Predictors Reveals a Shared Exon-Interior Blind Spot · Original source · bioRxiv 2026.07.21.739871 v1, posted 2026-07-26; full-text PDF

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Technical metadata and extraction receipts

Stable ID: splicing-follow-up-20261009-config-znabu2026-spliceai

areas: dna-genomes
contexts: research
method types: supervised_machine_learning
reported name: SpliceAI (Znabu et al. 2026)
foundation model eligible: false
missing metadata: version: reason: unreported; note: Released weights used; software version not printed
parameters: Maximum of the four delta scores; hg38 genomic context
source locator: Section 3 'Predictors and scoring'

Related records

configuration of: SpliceAI
system: SpliceAI on all labelled MFASS SNVs

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