{
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  "affiliations": [
    "Center for Computational Biology, University of California Berkeley, Berkeley, CA, USA",
    "Department of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, CA, USA",
    "Biohub, San Francisco, CA, USA. nilah@berkeley.edu",
    "Center for Computational Biology, University of California Berkeley, Berkeley, CA, USA. nilah@berkeley.edu",
    "Department of Applied Mathematics, University of California Santa Cruz, Santa Cruz, CA, USA. nilah@berkeley.edu",
    "Department of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, CA, USA. nilah@berkeley.edu"
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  "arxiv": null,
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      "name": "Pooja Kathail",
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      "orcid": "0009-0007-5678-4587"
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      "name": "Nilah M. Ioannidis",
      "orcid": "0000-0001-9628-8229"
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  "bibtex": "https://research.draconitic.com/paper/79c0gtrep7v9j.bib",
  "cited_by": 9,
  "doi": "10.1038/s41588-026-02769-7",
  "fulltext_url": null,
  "id": "79c0gtrep7v9j",
  "issns": [
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  "landing_url": "https://arxiv.org/abs/2411.11158",
  "language": "en",
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  "licence_label": "Licence not stated",
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  "pdf_url": "https://arxiv.org/pdf/2411.11158",
  "pmcid": null,
  "pmid": "42907525",
  "published": "2026-10-21",
  "publisher": "Nature Portfolio",
  "ris": "https://research.draconitic.com/paper/79c0gtrep7v9j.ris",
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      "origin": "openalex:1311|Genomics and Rare Diseases",
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  "title": "Leveraging genomic deep learning models for the prediction of noncoding variant effects",
  "title_text": "Leveraging genomic deep learning models for the prediction of noncoding variant effects",
  "type": "peer-reviewed",
  "updated_at": "2026-11-07T13:20:49Z",
  "url": "https://research.draconitic.com/paper/79c0gtrep7v9j",
  "venue": "Nature Genetics",
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}