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mastR

This is the released version of mastR; for the devel version, see mastR.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17

Markers Automated Screening Tool in R


Bioconductor version: Release (3.23)

mastR is an R package designed for automated screening of signatures of interest for specific research questions. The package is developed for generating refined lists of signature genes from multiple group comparisons based on the results from edgeR and limma differential expression (DE) analysis workflow. It also takes into account the background noise of tissue-specificity, which is often ignored by other marker generation tools. This package is particularly useful for the identification of group markers in various biological and medical applications, including cancer research and developmental biology.

Author: Jinjin Chen [aut, cre] ORCID iD ORCID: 0000-0001-7923-5723 , Ahmed Mohamed [aut, ctb] ORCID iD ORCID: 0000-0001-6507-5300 , Chin Wee Tan [ctb] ORCID iD ORCID: 0000-0001-9695-7218

Maintainer: Jinjin Chen <chen.j at wehi.edu.au>

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

Jinjin Chen, Ahmed Mohamed. mastR: Markers Automated Screening Tool in R. doi:10.18129/B9.bioc.mastR, R package version 1.12.0, https://bioconductor.org/packages/mastR.

Generated from the package metadata; it may differ from the package's own citation.

Installation

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

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

BiocManager::install("mastR")

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("mastR")
mastR_Demo HTML R Script
mastR_Demo HTML R Script
Reference ManualPDF
NEWSText
LICENSEText

Details

biocViews DifferentialExpression, GeneExpression, Software, Transcriptomics, Visualization
Version1.12.0
In Bioconductor sinceBioC 3.17 (R-4.3) (3.5 years)
License MIT + file LICENSE
Depends R (>= 4.3.0)
Imports AnnotationDbi, Biobase, dplyr, edgeR, ggplot2, ggpubr, graphics, grDevices, GSEABase, limma, Matrix, methods, msigdb, org.Hs.eg.db, patchwork, SeuratObject (> 5.0.0), SingleCellExperiment, stats, SummarizedExperiment, tidyr, utils
System Requirements
URLhttps://davislaboratory.github.io/mastR
Bug Reportshttps://github.com/DavisLaboratory/mastR/issues
See More
Suggests BiocManager, BiocStyle, clusterProfiler, ComplexHeatmap, depmap, enrichplot, ggrepel, ggvenn, Glimma, gridExtra, jsonlite, knitr, rmarkdown, RobustRankAggreg, rvest, scuttle, singscore, splatter, testthat (>= 3.0.0), UpSetR
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Build Report Build Report, r-universe

Package Archives

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

Source Package mastR_1.12.0.tar.gz
Windows Binary (x86_64) mastR_1.12.0.zip
macOS Binary (big-sur-x86_64) mastR_1.12.0.tgz
macOS Binary (sonoma-arm64) mastR_1.12.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/mastR
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/mastR
Package Short Url https://bioconductor.org/packages/mastR/
Package Downloads ReportDownload Stats