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iRafNet
View on CRAN: Click
here
Download and install iRafNet package within the R console
Install from CRAN:
install.packages("iRafNet")
Install from Github:
library("remotes")
install_github("cran/iRafNet") Install by package version:
library("remotes")
install_version("iRafNet", "1.1-1") Attach the package and use:
library("iRafNet")
Maintained by
Francesca Petralia
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-01-28
Latest Update:
Description:
Provides a flexible integrative algorithm that allows information from prior data, such as protein protein interactions and gene knock-down, to be jointly considered for gene regulatory network inference.
How to cite:
Francesca Petralia (2016). iRafNet: Integrative Random Forest for Gene Regulatory Network Inference. R package version 1.1-1, https://cran.r-project.org/web/packages/iRafNet. Accessed 28 Oct. 2026.
Previous versions and publish date:
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Complete documentation for iRafNet
Functions, R codes and Examples using
the iRafNet R package
Some associated functions: Run_permutation . iRafNet . iRafNet_network . iRafNet_permutation . roc_curve .
Some associated R codes: IRafNet_network.R . Run_permutation.R . iRafNet.R . iRafNet_permutation.R . roc_curve.R . Full iRafNet package functions and examples
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