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The article presents SEQUOIA, a linearized transformer model designed to predict cancer transcriptomic profiles from whole slide images (WSIs), developed using data from 7584 tumor samples across 16 cancer types. SEQUOIA demonstrates its ability to accurately predict gene expression associated with key cancer processes and is validated on independent cohorts, showing potential for personalized cancer management. The model

Author

jaxzhang14

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EN