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README.md
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[saarantras1/MPAC](https://huggingface.co/saarantras1/MPAC); the MPRA training data
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is at [saarantras1/mpac-mpra](https://huggingface.co/saarantras1/mpac-mpra).
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## Names that differ from Zenodo
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[saarantras1/MPAC](https://huggingface.co/saarantras1/MPAC); the MPRA training data
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is at [saarantras1/mpac-mpra](https://huggingface.co/saarantras1/mpac-mpra).
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Supplemental data and resources for "Identifying non-coding variant effects at scale via machine learning models of cis-regulatory reporter assays"
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Including:
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MPAC and comparison model predictions for:
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Siraj 2026 (UKBB/BBJ/GTEx) MPRA (Supplementary Dataset 1)
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DNase allele specific effects (Supplementary Dataset 2)
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ClinVar (20260104) (Supplementary Dataset 3)
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COSMIC (v98) (Supplementary Dataset 4)
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GWAS tag SNVs + LD variants (Supplementary Dataset 6)
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Haplotype analyses (Supplementary Dataset 7)
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gnomAD (v3.1.2 SNPs and and small indels) (Supplementary Dataset 8)
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Saturation mutagenesis of human promoters (Supplementary Dataset 9)
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Saturation mutagenesis ENCODE dELSs (Supplementary Dataset 12)
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Supplemental Tables for:
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Recurrent COSMIC v98 emVar candidate drivers (Supplementary Dataset 5)
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Promoter level function x constraint relationships (Supplementary Dataset 10)
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Functional enrichments for promoter level function x constraint relationships (Supplementary Dataset 11)
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GTEx phenocopying results (Supplementary Dataset 13)
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All promoter and dELS seqlets (Supplementary Dataset 14)
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Model hyperparameters (Supplementary Dataset 15)
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All MPAC model artifacts (Supplementary Dataset 16)
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Detailed descriptions for all predictions and supplemental tables can be found in 'File Descriptions.xlsx'
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## Names that differ from Zenodo
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