Biological Graph Signal Processing for Spatial Data Analysis R package BioGSP version 1.0.0 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>. Software Depends: R (>= 3.5.0) Imports: Matrix, igraph, RANN, RSpectra, ggplot2, patchwork, gridExtra, viridis, methods, dplyr Suggests: knitr, rmarkdown, ggrepel Yuzhou Chang <yuzhou.chang@osumc.edu> Comprehensive R Archive Network (CRAN) Yuzhou Chang [aut, cre] GPL-3 2026-02-02 application/tgz https://CRAN.R-project.org/package=BioGSP doi:10.32614/CRAN.package.BioGSP