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TFactSR: Enrichment Approach to Predict Which Transcription Factors are Regulated

R implementation of 'TFactS' to predict which are the transcription factors (TFs), regulated in a biological condition based on lists of differentially expressed genes (DEGs) obtained from transcriptome experiments. This package is based on the 'TFactS' concept by Essaghir et al. (2010) <doi:10.1093/nar/gkq149> and expands it. It allows users to perform 'TFactS'-like enrichment approach. The package can import and use the original catalogue file from the 'TFactS' as well as users' defined catalogues of interest that are not supported by 'TFactS' (e.g., Arabidopsis).

Version: 0.99.0
Depends: R (≥ 4.3.0)
Imports: qvalue, stats
Suggests: BiocStyle, knitr, rmarkdown, spelling, testthat
Published: 2023-08-31
DOI: 10.32614/CRAN.package.TFactSR
Author: Atsushi Fukushima ORCID iD [aut, cre]
Maintainer: Atsushi Fukushima <afukushima at gmail.com>
License: GPL-3
URL: https://afukushima.github.io/TFactSR/
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: TFactSR results

Documentation:

Reference manual: TFactSR.pdf
Vignettes: TFactSR

Downloads:

Package source: TFactSR_0.99.0.tar.gz
Windows binaries: r-devel: TFactSR_0.99.0.zip, r-release: TFactSR_0.99.0.zip, r-oldrel: TFactSR_0.99.0.zip
macOS binaries: r-release (arm64): TFactSR_0.99.0.tgz, r-oldrel (arm64): TFactSR_0.99.0.tgz, r-release (x86_64): TFactSR_0.99.0.tgz, r-oldrel (x86_64): TFactSR_0.99.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.