Machine learning pipeline for multi-class treatment prediction in lung adenocarcinoma (LUAD) using patient-level molecular profiles, featuring ensemble-based model aggregation, benchmarking across diverse classifier architectures, and systematic performance evaluation.
benchmarking machine-learning bioinformatics reproducible-research scikit-learn model-selection supervised-learning hyperparameter-optimization ensemble-learning predictive-modeling linear-models probabilistic-models gradient-boosting multi-class-classification personalized-medicine mutation-data tree-based-models genomic-features clinical-ml molecular-profiling
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Updated
Jan 29, 2026 - Jupyter Notebook