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diffee  

Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("diffee", "1.1.0")



Attach the package and use:
library("diffee")
Maintained by
Beilun Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-06
Latest Update: 2018-07-03
Description:
This is an R implementation of Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure (DIFFEE). The DIFFEE algorithm can be used to fast estimate the differential network between two related datasets. For instance, it can identify differential gene network from datasets of case and control. By performing data-driven network inference from two high-dimensional data sets, this tool can help users effectively translate two aggregated data blocks into knowledge of the changes among entities between two Gaussian Graphical Model. Please run demo(diffeeDemo) to learn the basic functions provided by this package. For further details, please read the original paper: Beilun Wang, Arshdeep Sekhon, Yanjun Qi (2018) .
How to cite:
Beilun Wang (2018). diffee: Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure. R package version 1.1.0, https://cran.r-project.org/web/packages/diffee. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.0 (2018-03-06 19:59)
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Complete documentation for diffee
Functions, R codes and Examples using the diffee R package
Some associated functions: cancer . diffee-package . diffee . exampleData . exampleData500 . exampleDataGraph . nip_37_data . plot.diffee . returngraph . 
Some associated R codes: Data.R . Plot.R . diffee-package.R . diffee.R .  Full diffee package functions and examples
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