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107-machine-learning

R script implementing 11 ML algorithms with 107 parameter permutations for RA biomarker screening. Performs feature selection, model construction, and multi-cohort AUC evaluation. Outputs risk scores, classifications, gene importance matrices, and heatmaps. Fully reproducible code for the study.

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R script implementing 11 ML algorithms with 107 parameter permutations for RA biomarker screening. Performs feature selection, model construction, and multi-cohort AUC evaluation. Outputs risk scores, classifications, gene importance matrices, and heatmaps. Fully reproducible code for the study.

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