A network-based deep learning model integrating subclonal architecture for therapy response prediction in cancer
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Predicting treatment response remains challenging in oncology, particularly given the growing diversity of therapeutic options. Despite efforts using gene expression signatures, or integrative multi-omics frameworks, robust and interpretable biomarkers remain ... ...
