markeR
An R Toolkit for Evaluating Gene Signatures as Phenotypic Markers
Bioconductor version: 3.23 · Package version: 1.2.0
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
| Maintainer | Rita Martins-Silva <rita.silva@medicina.ulisboa.pt> |
| Author | Rita 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>) |
| License | Artistic-2.0 |
| URL | https://diseasetranscriptomicslab.github.io/markeR/, https://github.com/DiseaseTranscriptomicsLab/markeR |
| Bug Reports | https://github.com/DiseaseTranscriptomicsLab/markeR/issues |
| Downloads rank | 127 |
| Source branch | RELEASE_3_23 |
| biocViews | Classification, GeneExpression, GeneSetEnrichment, Software, Transcriptomics, Visualization |
Documentation
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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