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markeR

An R Toolkit for Evaluating Gene Signatures as Phenotypic Markers

Bioconductor version: 3.24 · Package version: 1.3.1

markeR is an R package that provides a modular and extensible framework for the systematic evaluation of gene sets as phenotypic markers using transcriptomic data. The package is designed to support both quantitative analyses and visual exploration of gene set behaviour across experimental and clinical phenotypes. It implements multiple methods, including score-based and enrichment approaches, and also allows the exploration of expression behaviour of individual genes. In addition, users can assess the similarity of their own gene sets against established collections (e.g., those from MSigDB), facilitating biological interpretation.

Installation

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

BiocManager::install("markeR")

Details

MaintainerRita Martins-Silva <rita.silva@gimm.pt>
AuthorRita Martins-Silva [aut, cre] (ORCID: <https://orcid.org/0000-0002-1067-7993>), Alexandre Kaizeler [aut, ctb] (ORCID: <https://orcid.org/0000-0002-9117-6073>), Nuno Luís Barbosa-Morais [aut, led, ths] (ORCID: <https://orcid.org/0000-0002-1215-0538>)
LicenseArtistic-2.0
URLhttps://diseasetranscriptomicslab.github.io/markeR/, https://github.com/DiseaseTranscriptomicsLab/markeR, https://doi.org/10.1093/nargab/lqag057
Bug Reportshttps://github.com/DiseaseTranscriptomicsLab/markeR/issues
Downloads rank295
Source branchdevel
biocViewsClassification, GeneExpression, GeneSetEnrichment, Software, Transcriptomics, Visualization

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagemarkeR_1.3.1.tar.gz
Windows binary (x86_64)markeR_1.3.1.zip
macOS binary (arm64)markeR_1.3.1.tgz
macOS binary (x86_64)markeR_1.3.1.tgz
Dependencies

Depends: R (>= 4.5.0)

Imports: circlize, edgeR, ComplexHeatmap, ggh4x, ggplot2, ggpubr, grid, gridExtra, pROC, RColorBrewer, reshape2, rstatix, scales, stats, utils, fgsea, limma, ggrepel, effectsize, msigdbr, tibble

Suggests: devtools, markdown, renv, testthat, BiocManager, knitr, rmarkdown, roxygen2, mockery, covr, magick, BiocStyle