PathwaySpace: 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)
<doi:10.1016/j.xpro.2025.103681> and Ellrott et al. (2025)
<doi:10.1016/j.ccell.2024.12.002>.
| Version: |
1.2.0 |
| Depends: |
R (≥ 4.5), methods, RGraphSpace (≥ 1.2) |
| Imports: |
grDevices, stats, scales, RANN, igraph, ggplot2, ggrepel, grid, colorspace, patchwork, lifecycle |
| Suggests: |
knitr, rmarkdown, testthat, RedeR |
| Published: |
2026-04-25 |
| DOI: |
10.32614/CRAN.package.PathwaySpace |
| Author: |
Sysbiolab Team [aut],
Victor Apolonio [ctb],
Jonathan Back [ctb],
Lana Querne [ctb],
Vinicius Chagas [ctb],
Bahar Tercan [ctb],
Mauro Castro 
[cre] |
| Maintainer: |
Mauro Castro <mauro.a.castro at gmail.com> |
| BugReports: |
https://github.com/sysbiolab/PathwaySpace/issues |
| License: |
Artistic-2.0 |
| URL: |
https://sysbiolab.github.io/PathwaySpace/,
https://github.com/sysbiolab/PathwaySpace |
| NeedsCompilation: |
no |
| Citation: |
PathwaySpace citation info |
| Materials: |
NEWS |
| CRAN checks: |
PathwaySpace results |
Documentation:
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