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TFactSR  

Enrichment Approach to Predict Which Transcription Factors are Regulated
View on CRAN: Click here


Download and install TFactSR package within the R console
Install from CRAN:
install.packages("TFactSR")

Install from Github:
library("remotes")
install_github("cran/TFactSR")

Install by package version:
library("remotes")
install_version("TFactSR", "0.99.0")



Attach the package and use:
library("TFactSR")
Maintained by
Atsushi Fukushima
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-08-31
Latest Update: 2023-08-31
Description:
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).
How to cite:
Atsushi Fukushima (2023). TFactSR: Enrichment Approach to Predict Which Transcription Factors are Regulated. R package version 0.99.0, https://cran.r-project.org/web/packages/TFactSR. Accessed 29 Jul. 2026.
Previous versions and publish date:
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Complete documentation for TFactSR
Functions, R codes and Examples using the TFactSR R package
Full TFactSR package functions and examples
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