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TMSig

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

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

Tools for Molecular Signatures


Bioconductor version: Release (3.23)

The TMSig package contains tools to prepare, analyze, and visualize named lists of sets, with an emphasis on molecular signatures (such as gene or kinase sets). It includes fast, memory efficient functions to construct sparse incidence and similarity matrices and filter, cluster, invert, and decompose sets. Additionally, bubble heatmaps can be created to visualize the results of any differential or molecular signatures analysis.

Author: Tyler Sagendorf [aut, cre] ORCID iD ORCID: 0000-0003-1552-4870 , Di Wu [ctb], Gordon Smyth [ctb]

Maintainer: Tyler Sagendorf <tyler.sagendorf at pnnl.gov>

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

Tyler Sagendorf. TMSig: Tools for Molecular Signatures. doi:10.18129/B9.bioc.TMSig, R package version 1.6.0, https://bioconductor.org/packages/TMSig.

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("TMSig")

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("TMSig")
An Introduction to TMSig HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews Clustering, GeneSetEnrichment, GraphAndNetwork, Pathways, Software, Visualization
Version1.6.0
In Bioconductor sinceBioC 3.20 (R-4.4) (2 years)
License GPL (>= 3)
Depends R (>= 4.4.0), limma
Imports circlize, ComplexHeatmap, data.table, grDevices, grid, GSEABase, Matrix, methods, stats, utils
System Requirements
URLhttps://github.com/EMSL-Computing/TMSig
Bug Reportshttps://github.com/EMSL-Computing/TMSig/issues
See More
Suggests BiocStyle, knitr, rmarkdown, testthat (>= 3.0.0)
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

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

Source Package TMSig_1.6.0.tar.gz
Windows Binary (x86_64) TMSig_1.6.0.zip
macOS Binary (big-sur-x86_64) TMSig_1.6.0.tgz
macOS Binary (sonoma-arm64) TMSig_1.6.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/TMSig
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/TMSig
Package Short Url https://bioconductor.org/packages/TMSig/
Package Downloads ReportDownload Stats