Article

Multi-Platform Transcriptomic Classification of NSCLC Driver Mutation Subtypes via Heterogeneous Ensemble Learning

2026-08-04

Abstract excerpt

<h4>Background: </h4> Accurate identification of EGFR-mutant, KRAS-mutant, and triple-negative (TN) NSCLC driver mutation subtypes is essential for guiding targeted therapy decisions, yet standard molecular testing remains invasive and infeasible in a clinically relevant subset of patients. Gene expressionbased machine learning approaches offer a non-invasive alternative; however, existing models are largely restr...

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Literature Corpus work: 4aad535b-09d6-546f-a5be-1e7e8f0173ae
DOI: 10.20944/preprints202608.0241.v1

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