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iRafNet  

Integrative Random Forest for Gene Regulatory Network Inference
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]
All associated links for this package
First Published: 2016-01-28
Latest Update: 2016-10-26
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 06 Oct. 2024.
Previous versions and publish date:
0.1-1 (2016-01-28 00:21)
Other packages that cited iRafNet R package
View iRafNet citation profile
Other R packages that iRafNet depends, imports, suggests or enhances
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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