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RFGeneRank

RFGeneRank: Cross-validated Stable Predictive Gene Ranking for Transcriptomics

Bioconductor version: 3.23 · Package version: 1.0.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("RFGeneRank")

Details

MaintainerAbdulaziz Albeshri <a.z.a1410@hotmail.com>
AuthorAbdulaziz Albeshri [aut, cre] (ORCID: <https://orcid.org/0000-0002-0718-2439>), Thamer Ahmad Bouback [ctb], Majid Al-Zahrani [ctb], Tasneem Alsahafi [ctb]
LicenseMIT + file LICENSE
URLhttps://github.com/Abdulaziz-Albeshri/RFGeneRank
Bug Reportshttps://github.com/Abdulaziz-Albeshri/RFGeneRank/issues
Downloads rank30
Source branchRELEASE_3_23
biocViewsAlignment, Classification, FeatureExtraction, GeneExpression, RNASeq, Software, StatisticalMethod, Transcriptomics, Visualization

Documentation

Download

Dependencies

Depends: R (>= 4.5.0)

Imports: ggplot2, limma, methods, pROC, ranger, stats, SummarizedExperiment, sva, AnnotationDbi, umap, scales, utils, S4Vectors, digest, mgcv, Matrix, glmnet, xgboost, patchwork

Suggests: GEOquery, Biobase, edgeR, uwot, BiocStyle, knitr, org.Hs.eg.db, rmarkdown, DESeq2, MASS, matrixStats, BiocGenerics, fastshap, caret, testthat (>= 3.0.0), covr