Article

A network-based deep learning model integrating subclonal architecture for therapy response prediction in cancer

2026-03-17

Abstract excerpt

<h4>Summary</h4> 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 limited. We present SubNetDL, a deep learning framework that integrates subclonal mutation profiles and protein–protein interaction network...

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Literature Corpus work: 4be15e06-f018-589b-902e-988cc80d35b6
DOI: 10.64898/2026.03.14.711567

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