BioGSP: Biological Graph Signal Processing for Spatial Data Analysis
Implementation of Graph Signal Processing (GSP) methods including Spectral
Graph Wavelet Transform (SGWT) for analyzing spatial patterns in biological data.
Based on Hammond, Vandergheynst, and Gribonval (2011) <doi:10.1016/j.acha.2010.04.005>. Provides tools for multi-scale analysis of biology spatial signals, including forward and inverse transforms, energy analysis, and visualization functions tailored for biological applications. Biological application example is on Stephanie, Yao, Yuzhou (2024) <doi:10.1101/2024.12.20.629650>.
| Version: |
1.0.1 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
Matrix, igraph, RANN, RSpectra, ggplot2, patchwork, gridExtra, viridis, methods, dplyr |
| Suggests: |
knitr, rmarkdown, ggrepel |
| Published: |
2026-09-15 |
| DOI: |
10.32614/CRAN.package.BioGSP |
| Author: |
Yuzhou Chang [aut, cre] |
| Maintainer: |
Yuzhou Chang <cyz931123 at gmail.com> |
| BugReports: |
https://github.com/BMEngineeR/BioGSP/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/BMEngineeR/BioGSP |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
BioGSP results |
Documentation:
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