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iDINGO  

Integrative Differential Network Analysis in Genomics
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("iDINGO", "1.0.4")



Attach the package and use:
library("iDINGO")
Maintained by
Caleb A. Class
[Scholar Profile | Author Map]
First Published: 2017-08-22
Latest Update: 2020-07-30
Description:
Fits covariate dependent partial correlation matrices for integrative models to identify differential networks between two groups. The methods are described in Class et. al., (2018) and Ha et. al., (2015) .
How to cite:
Caleb A. Class (2017). iDINGO: Integrative Differential Network Analysis in Genomics. R package version 1.0.4, https://cran.r-project.org/web/packages/iDINGO. Accessed 07 May. 2025.
Previous versions and publish date:
1.0.0 (2017-08-22 19:09), 1.0.1 (2017-08-24 20:09), 1.0.2 (2017-10-12 22:55), 1.0.3 (2019-09-06 11:20)
Other packages that cited iDINGO R package
View iDINGO citation profile
Other R packages that iDINGO depends, imports, suggests or enhances
Complete documentation for iDINGO
Functions, R codes and Examples using the iDINGO R package
Some associated functions: Greg.em . Sigmax . brca . dingo . extendedBIC . gbm . iDINGO-package . idingo . plotNetwork . scaledMat . scoring.boot . scoring.boot.parallel . single.boot . trans.Fisher . 
Some associated R codes: Greg.em.R . Sigmax.R . dingo.R . extendedBIC.R . idingo.R . plotNetwork.R . scaledMat.R . scoring.boot.R . scoring.boot.parallel.R . single.boot.R . trans.Fisher.R .  Full iDINGO package functions and examples
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