MDI+: A Flexible Random Forest-Based Feature Importance Framework
Abhineet Agarwal, Ana Maria Kenney, Yan Shuo Tan, Tiffany M. Tang, Bin Yu · Zenodo (CERN European Organization for Nuclear Research) · 2023
Datasets used in "MDI+: A Flexible Random Forest-Based Feature Importance Framework". Juvenile dataset Covariates (processed): X_juvenile_cleaned.csv Response: y_juvenile.csv Splicing dataset Covariates (processed): X_splicing_cleaned.csv Response: y_splicing.csv Enhancer dataset Covariates (processed for real-data-inspired simulations): X_enhancer_cleaned.csv Covariates (processed for prediction experiments): X_enhancer_all.csv Response: y_enhancer.csv Cancer Cell Line Encyclopedia (CCLE) gene expression dataset Covariates (processed for real-data-inspired simulations): X_ccle_rnaseq_cleaned.csv Covariates (processed for case study): X_ccle_rnaseq_cleaned_filtered5000.csv Response: y_ccle_rnaseq.csv The Cancer Genome Atlas (TCGA) breast cancer dataset Covariates (processed for case study): X_tcga_cleaned.csv Response: Y_tcga.csv