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Yuna Miyachi

As seen in: BioRxiv
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Articles

SpliceSelectNet: A Hierarchical Transformer-Based Deep Learning Model for Splice Site Prediction

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By Kenta Nakai, Yuna Miyachi
| BioRxiv
Abstract Accurate RNA splicing is essential for gene expression and protein function, yet the mechanisms governing splice site recognition remain incompletely understood. Aberrant splicing caused by mutations can lead to severe diseases, including cancer and genetic disorders, underscoring the need for accurate computational tools to predict splice sites and detect disruptions.
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