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markeR

This is thereleased version of markeR; for the devel version, seemarkeR.

An R Toolkit for Evaluating Gene Signatures as Phenotypic Markers

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DOI: 10.18129/B9.bioc.markeR


Bioconductor version: Release (3.22)

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.

Author: Rita Martins-Silva [aut, cre]ORCID iD ORCID: 0000-0002-1067-7993, Alexandre Kaizeler [aut, ctb]ORCID iD ORCID: 0000-0002-9117-6073, Nuno Luís Barbosa-Morais [aut, led, ths]ORCID iD ORCID: 0000-0002-1215-0538

Maintainer: Rita Martins-Silva <rita.silva at medicina.ulisboa.pt>

Citation (from within R, entercitation("markeR")):

Installation

To install this package, start R (version "4.5") and enter:

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

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

Documentation

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

browseVignettes("markeR")
Introduction to markeRHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsClassification,GeneExpression,GeneSetEnrichment,Software,Transcriptomics,Visualization
Version1.0.0
In Bioconductor sinceBioC 3.22 (R-4.5) (< 6 months)
LicenseArtistic-2.0
DependsR (>= 4.5.0)
Importscirclize,edgeR,ComplexHeatmap,ggh4x,ggplot2,ggpubr, grid,gridExtra,pROC,RColorBrewer,reshape2,rstatix,scales, stats, utils,fgsea,limma,ggrepel,effectsize,msigdbr,tibble
System Requirements
URLhttps://diseasetranscriptomicslab.github.io/markeR/https://github.com/DiseaseTranscriptomicsLab/markeR
Bug Reportshttps://github.com/DiseaseTranscriptomicsLab/markeR/issues
See More
Suggestsdevtools,markdown,renv,testthat,BiocManager,knitr,rmarkdown,roxygen2,mockery,covr,magick,BiocStyle
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackagemarkeR_1.0.0.tar.gz
Windows Binary (x86_64) markeR_1.0.0.zip
macOS Binary (x86_64)markeR_1.0.0.tgz
macOS Binary (arm64)markeR_1.0.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/markeR
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/markeR
Bioc Package Browserhttps://code.bioconductor.org/browse/markeR/
Package Short Urlhttps://bioconductor.org/packages/markeR/
Package Downloads ReportDownload Stats

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