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:	1.0.0
Depends:	R (≥ 3.5.0)
Imports:	Matrix, igraph, RANN, RSpectra, ggplot2, patchwork, gridExtra, viridis, methods, dplyr
Suggests:	knitr, rmarkdown, ggrepel
Published:	2026-02-02
DOI:	10.32614/CRAN.package.BioGSP (may not be active yet)
Author:	Yuzhou Chang [aut, cre]
Maintainer:	Yuzhou Chang <yuzhou.chang at osumc.edu>
BugReports:	https://github.com/BMEngineeR/BioGSP/issues
License:	GPL-3
URL:	https://github.com/BMEngineeR/BioGSP
NeedsCompilation:	no
CRAN checks:	BioGSP results

Documentation:

Reference manual:	BioGSP.html , BioGSP.pdf
Vignettes:	BioGSP: Spectral Graph Wavelet Transform for Spatial Data (source, R code)

Downloads:

Package source:	BioGSP_1.0.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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