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TBSignatureProfiler

Profile RNA-Seq Data Using TB Pathway Signatures

Bioconductor version: 3.23 · Package version: 1.24.0

Gene signatures of TB progression, TB disease, and other TB disease states have been validated and published previously. This package aggregates known signatures and provides computational tools to enlist their usage on other datasets. The TBSignatureProfiler makes it easy to profile RNA-Seq data using these signatures and includes common signature profiling tools including ASSIGN, GSVA, and ssGSEA. Original models for some gene signatures are also available. A shiny app provides some functionality alongside for detailed command line accessibility.

Installation

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

BiocManager::install("TBSignatureProfiler")

Details

MaintainerKiloni Quiles <kiloni.quiles@rutgers.edu>
AuthorKiloni Quiles [cre] (ORCID: <https://orcid.org/0000-0002-7521-5255>), Aubrey R. Odom [aut, dtm] (ORCID: <https://orcid.org/0000-0001-7113-7598>), David Jenkins [aut, org] (ORCID: <https://orcid.org/0000-0002-7451-4288>), Xutao Wang [aut], Yue Zhao [ctb] (ORCID: <https://orcid.org/0000-0001-5257-5103>), Christian Love [ctb], W. Evan Johnson [aut]
LicenseMIT + file LICENSE
URLhttps://github.com/wejlab/TBSignatureProfiler, https://wejlab.github.io/TBSignatureProfiler-docs/
Bug Reportshttps://github.com/wejlab/TBSignatureProfiler/issues
Downloads rank338
Source branchRELEASE_3_23
biocViewsDifferentialExpression, GeneExpression, Software

Documentation

Download

Dependencies

Depends: R (>= 4.4.0)

Imports: ASSIGN (>= 1.23.1), BiocParallel, ComplexHeatmap, DESeq2, DT, edgeR, gdata, ggplot2, glmnet, GSVA (>= 1.51.3), HGNChelper, magrittr, methods, pROC, RColorBrewer, reshape2, ROCit, S4Vectors, singscore, stats, SummarizedExperiment, tibble

Suggests: BiocStyle, caret, circlize, class, covr, dplyr, e1071, impute, knitr, lintr, MASS, plyr, randomForest, rmarkdown, shiny, spelling, sva, testthat

Reverse dependencies

Suggests Me (1): LegATo