RFGeneRank

Description

Tools to harmonize bulk RNA-seq matrices, optionally apply batch correction, and train cross-validated classification models using ranger, glmnet, or xgboost. Supports leakage-safe feature selection, permutation importance, SHAP-based interpretability, and calibration methods (Platt or isotonic). Provides stability metrics across folds, embeddings (PCA/UMAP), ROC visualization, SHAP dependence plots, and tidy ranked-gene tables for downstream analysis.

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Code

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People

• Abdulaziz Albeshri author maintainer
• Thamer Ahmad Bouback contributor
• Majid Al-Zahrani contributor
• Tasneem Alsahafi contributor