Bioconductor 3.23 Release Schedule

RFGeneRank

This is the development version of RFGeneRank; to use it, please install the devel version of Bioconductor.

RFGeneRank: Cross-validated Stable Predictive Gene Ranking for Transcriptomics


Bioconductor version: Development (3.23)

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.

Author: Abdulaziz Albeshri [aut, cre] ORCID iD ORCID: 0000-0002-0718-2439 , Thamer Ahmad Bouback [ctb], Majid Al-Zahrani [ctb], Tasneem Alsahafi [ctb]

Maintainer: Abdulaziz Albeshri <a.z.a1410 at hotmail.com>

Citation (from within R, enter citation("RFGeneRank")):

Installation

To install this package, start R (version "4.6") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("RFGeneRank")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("RFGeneRank")
RFGeneRank HTML R Script
Reference Manual PDF

Details

biocViews Alignment, Classification, FeatureExtraction, GeneExpression, RNASeq, Software, StatisticalMethod, Transcriptomics, Visualization
Version 0.99.4
In Bioconductor since BioC 3.23 (R-4.6)
License MIT + file LICENSE
Depends R (>= 4.6.0)
Imports ggplot2, limma, methods, pROC, ranger, stats, SummarizedExperiment, sva, AnnotationDbi, umap, scales, utils, S4Vectors, digest, mgcv, Matrix, glmnet, xgboost, patchwork
System Requirements
URL https://github.com/Abdulaziz-Albeshri/RFGeneRank
Bug Reports https://github.com/Abdulaziz-Albeshri/RFGeneRank/issues
See More
Suggests GEOquery, Biobase, edgeR, uwot, BiocStyle, knitr, org.Hs.eg.db, rmarkdown, DESeq2, MASS, matrixStats, BiocGenerics, fastshap, caret, testthat (>= 3.0.0), covr
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package RFGeneRank_0.99.4.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (big-sur-arm64)
macOS Binary (sonoma-arm64)
Source Repository git clone https://git.bioconductor.org/packages/RFGeneRank
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/RFGeneRank
Bioc Package Browser https://code.bioconductor.org/browse/RFGeneRank/
Package Short Url https://bioconductor.org/packages/RFGeneRank/
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