For a given graph containing vertices, edges, and a signal associated with the vertices, the 'PathwaySpace' package performs a convolution operation, which involves a weighted combination of neighboring vertices and their associated signals. The package then uses a decay function to project these signals, creating geodesic paths on a 2D-image space. 'PathwaySpace' could have various applications, such as visualizing and analyzing network data in a graphical format that highlights the relationships and signal strengths between vertices. It can be particularly useful for understanding the influence of signals through complex networks. By combining graph theory, signal processing, and visualization, the 'PathwaySpace' package provides a novel way of representing and analyzing graph data.
Version: 1.0.1 Depends: R (≥ 4.4), methods, RGraphSpace Imports: grDevices, stats, scales, igraph, RANN, ggplot2, ggrepel, lifecycle Suggests: knitr, rmarkdown, testthat, RedeR Published: 2025-04-08 DOI: 10.32614/CRAN.package.PathwaySpace Author: Victor Apolonio [ctr], Vinicius Chagas [ctr], Mauro Castro [aut, cre] Maintainer: Mauro Castro <mauro.a.castro at gmail.com> BugReports: https://github.com/sysbiolab/PathwaySpace/issues License: Artistic-2.0 URL: https://github.com/sysbiolab/PathwaySpace NeedsCompilation: no Citation: PathwaySpace citation info Materials: NEWS CRAN checks: PathwaySpace results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=PathwaySpace to link to this page.
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