Article

Integrative Machine Learning Framework for Detecting Resistance-Associated Mutations in Cancer Cell Lines

2026-05-13

Abstract excerpt

The emergence of resistance-associated mutations remains a major challenge in cancer therapy because tumor cells continuously evolve mechanisms that reduce drug effectiveness. Accurate identification of these mutations is essential for improving treatment selection, predicting therapeutic response, and supporting precision oncology. This study proposes an integrative machine learning framework for detecting resist...

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Literature Corpus work: 64bf61b4-dc97-5c7f-ae81-7b80ee47c08e
DOI: 10.14293/pr2199.003551.v2

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