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EGRNi  

Ensemble Gene Regulatory Network Inference
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("EGRNi", "0.1.6")



Attach the package and use:
library("EGRNi")
Maintained by
Chiranjib Sarkar
[Scholar Profile | Author Map]
First Published: 2022-11-18
Latest Update: 2022-11-18
Description:
Gene regulatory network constructed using combined score obtained from individual network inference method. The combined score measures the significance of edges in the ensemble network. Fisher's weighted method has been implemented to combine the outcomes of different methods based on the probability values. The combined score follows chi-square distribution with 2n degrees of freedom. .
How to cite:
Chiranjib Sarkar (2022). EGRNi: Ensemble Gene Regulatory Network Inference. R package version 0.1.6, https://cran.r-project.org/web/packages/EGRNi. Accessed 05 May. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited EGRNi R package
View EGRNi citation profile
Other R packages that EGRNi depends, imports, suggests or enhances
Complete documentation for EGRNi
Functions, R codes and Examples using the EGRNi R package
Some associated functions: CRN . EGRN . Edg2Fw . Edgescore . F_score . IntsctEdg2Fw . PCN . PLSN . RidgN . gene_exp . pvalue . weight . 
Some associated R codes: EGRN.R . EGRNData.R . Edge_score_to_Fw_score.R . Edgescore.R . F_score.R . IntersectEdge2Fw.R . connectivity_score.R . pvalue.R . weight.R .  Full EGRNi package functions and examples
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