Spatial Projection of Network Signals along Geodesic Paths

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 uses a decay function to project these signals, creating geodesic paths on a 2D-image space. 'PathwaySpace' has various applications, such as visualizing network data in a graphical format that highlights the relationships and signal strengths between vertices. By combining graph theory, signal processing, and visualization, 'PathwaySpace' provides a way of representing graph data on a continuous projection space. Based on methods introduced in Tercan et al. (2025) and Ellrott et al. (2025) .


Reference manual

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install.packages("PathwaySpace")

1.5.2 by Mauro Castro, 17 days ago


https://sysbiolab.github.io/PathwaySpace/, https://github.com/sysbiolab/PathwaySpace


Report a bug at https://github.com/sysbiolab/PathwaySpace/issues


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


Authors: Sysbiolab Team [aut] , Victor Apolonio [ctb] , Jonathan Back [ctb] , Lana Querne [ctb] , Vinicius Chagas [ctb] , Bahar Tercan [ctb] , Mauro Castro [cre]


Documentation:   PDF Manual  


Artistic-2.0 license


Imports grDevices, rlang, stats, scales, RANN, igraph, ggplot2, grid, ggnewscale, ggrepel, colorspace, lifecycle

Depends on methods, RGraphSpace

Suggests knitr, rmarkdown, testthat, RedeR, patchwork


See at CRAN