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
| Maintainer | Abdulaziz Albeshri <a.z.a1410@hotmail.com> |
| Author | Abdulaziz Albeshri [aut, cre] (ORCID: <https://orcid.org/0000-0002-0718-2439>), Thamer Ahmad Bouback [ctb], Majid Al-Zahrani [ctb], Tasneem Alsahafi [ctb] |
| License | MIT + file LICENSE |
| URL | https://github.com/Abdulaziz-Albeshri/RFGeneRank |
| Bug Reports | https://github.com/Abdulaziz-Albeshri/RFGeneRank/issues |
| Downloads rank | 30 |
| Source branch | RELEASE_3_23 |
| biocViews | Alignment, Classification, FeatureExtraction, GeneExpression, RNASeq, Software, StatisticalMethod, Transcriptomics, Visualization |
Documentation
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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