BioGSP: Biological Graph Signal Processing for Spatial Data Analysis

2026 Dataset Open access

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Authors: Yuzhou Chang
DOI: 10.32614/cran.package.biogsp
Cited by: 0
References: 2

Abstract

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) . 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) .

Fields of Study & Subjects

Advanced Graph Neural Networks Topological and Geometric Data Analysis Mathematical Analysis and Transform Methods

Publication details

Publication date
2 February 2026
Document type
Dataset