Network-Based Analysis of Gene Expression Perturbations

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).


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("ExpressionCellNet")

0.1.2 by Ehsan Keramati, 4 months ago


https://doi.org/10.1093/bib/bbw139


Browse source code at https://github.com/cran/ExpressionCellNet


Authors: Ehsan Keramati [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports igraph, ggplot2, uwot, Metrics, crayon


See at CRAN