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Generative modeling for RNA splicing predictions and design
Di Wu, Natalie Maus, View ORCID ProfileAnupama Jha, Kevin Yang, Benjamin D. Wales-McGrath, San Jewell, Anna Tangiyan, View ORCID ProfilePeter Choi, Jacob R. Gardner, View ORCID ProfileYoseph Barash
doi: https://doi.org/10.1101/2025.01.20.633986
Di Wu
1Department of Computer and Information Science, School of Engineering, University of Pennsylvania
Natalie Maus
1Department of Computer and Information Science, School of Engineering, University of Pennsylvania
Anupama Jha
2Department of Genome Sciences, University of Washington;
Kevin Yang
3Department of Genetics, Perelman School of Medicine, University of Pennsylvania;
Benjamin D. Wales-McGrath
3Department of Genetics, Perelman School of Medicine, University of Pennsylvania;
San Jewell
3Department of Genetics, Perelman School of Medicine, University of Pennsylvania;
Anna Tangiyan
5Division of Cancer Pathobiology, The Children’s Hospital of Philadelphia
Peter Choi
4Department of Pathology & Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania
5Division of Cancer Pathobiology, The Children’s Hospital of Philadelphia
Jacob R. Gardner
1Department of Computer and Information Science, School of Engineering, University of Pennsylvania
Yoseph Barash
1Department of Computer and Information Science, School of Engineering, University of Pennsylvania
3Department of Genetics, Perelman School of Medicine, University of Pennsylvania;

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Posted January 24, 2025.
Generative modeling for RNA splicing predictions and design
Di Wu, Natalie Maus, Anupama Jha, Kevin Yang, Benjamin D. Wales-McGrath, San Jewell, Anna Tangiyan, Peter Choi, Jacob R. Gardner, Yoseph Barash
bioRxiv 2025.01.20.633986; doi: https://doi.org/10.1101/2025.01.20.633986
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