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ExpressionCellNet  

Network-Based Analysis of Gene Expression Perturbations
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ExpressionCellNet", "0.1.1")



Attach the package and use:
library("ExpressionCellNet")
Maintained by
Ehsan Keramati
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-04
Latest Update: 2026-03-04
Description:
Network-centric framework for integrative analysis of high-throughput gene expression data using user-supplied gene-gene interaction graphs. Constructs seed-centered multi-generation networks constrained by expression correlations and simulates expression perturbation scenarios via regression-based prediction (van Dam, 2018).
How to cite:
Ehsan Keramati (2026). ExpressionCellNet: Network-Based Analysis of Gene Expression Perturbations. R package version 0.1.1, https://cran.r-project.org/web/packages/ExpressionCellNet. Accessed 07 Aug. 2026.
Previous versions and publish date:
0.1.1 (2026-03-04 10:50), (2026-07-09 08:03)
Other packages that cited ExpressionCellNet R package
View ExpressionCellNet citation profile
Other R packages that ExpressionCellNet depends, imports, suggests or enhances
Complete documentation for ExpressionCellNet
Functions, R codes and Examples using the ExpressionCellNet R package
Full ExpressionCellNet package functions and examples
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