ExprNet: Characterizing Differential Expression of Selected Edges on a Network

A toy model studying expressions of selected edges (namely a sub-network) on a network. We aim to characterize how the lengths of selected edges vary between two phenotypes based on t tests results. Two statistics, AT1 and AT2, are computed to summarize the t tests results and distinguish the differentially expressed patterns of the sub-network.

Version: 1.0.0
Depends: igraph, R (≥ 2.10)
Imports: doParallel, foreach, here, parallel
Suggests: readr, testthat (≥ 3.0.0)
Published: 2023-08-15
Author: Wenbin Wu [aut, cre], Leqi Tian [ctb]
Maintainer: Wenbin Wu <drkwu999 at gmail.com>
BugReports: https://github.com/WenbinWu2001/ExprNet/issues
License: GPL (≥ 3)
URL: https://github.com/WenbinWu2001/ExprNet
NeedsCompilation: no
Materials: README NEWS
CRAN checks: ExprNet results


Reference manual: ExprNet.pdf


Package source: ExprNet_1.0.0.tar.gz
Windows binaries: r-devel: ExprNet_1.0.0.zip, r-release: ExprNet_1.0.0.zip, r-oldrel: ExprNet_1.0.0.zip
macOS binaries: r-release (arm64): ExprNet_1.0.0.tgz, r-oldrel (arm64): ExprNet_1.0.0.tgz, r-release (x86_64): ExprNet_1.0.0.tgz, r-oldrel (x86_64): ExprNet_1.0.0.tgz


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