Bioconductor – TBSignatureProfiler

DOI: 10.18129/B9.bioc.TBSignatureProfiler  

 

This package is for version 3.12 of Bioconductor;
for the stable, up-to-date release version, see
TBSignatureProfiler.

Profile RA-Seq Data Using TB Pathway Signatures

Bioconductor version: 3.12

Signatures of TB progression, TB disease, and other TB disease states have been created. This package makes it easy to profile RNA-Seq data using these signatures and common signature profiling tools including ASSIGN, GSVA, and ssGSEA.

Author: David Jenkins [aut, cre], Yue Zhao [aut], W. Evan Johnson [aut], Aubrey Odom [aut], Christian Love [aut]

Maintainer: David Jenkins <dfj at bu.edu>

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

Installation

To install this package, start R (version
“4.0”) and enter:

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

BiocManager::install("TBSignatureProfiler")

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("TBSignatureProfiler")

 

Details

biocViews DifferentialExpression, GeneExpression, Software
Version 1.2.0
In Bioconductor since BioC 3.11 (R-4.0) (1 year)
License MIT + file LICENSE
Depends R (>= 4.0.0)
Imports ASSIGN(>= 1.23.1), GSVA, SummarizedExperiment, S4Vectors, methods, BiocParallel, ComplexHeatmap, RColorBrewer, ggplot2, reshape2, circlize, glmnet, ROCit, bioDist, readr, boot, DESeq2, caret, ggfortify, e1071, DT, edgeR, singscore, gdata, shiny
LinkingTo
Suggests testthat, spelling, lintr, covr, knitr, rmarkdown, BiocStyle
SystemRequirements
Enhances
URL github.com/compbiomed/TBSignatureProfiler
BugReports github.com/compbiomed/TBSignatureProfiler/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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


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