Year: 2025
Type: article
Abstract: High-throughput lab techniques have enabled systems biology to view medicine through networks rather than through individual genes or gene pairs (Goh et al., 2007).Using graph approaches, we can learn generic patterns that apply to many sets of genes, proteins, diseases, etc. simultaneously, vastly improving the rate we can find disease genes and enabling the transfer of knowledge between disorders.I created matlab-igraph, a toolbox that integrates the efficient graph algorithms and tools of the igraph C library (Csardi & Nepusz, 2006) into MATLAB's environment to aid in graph based research.By representing graphs using MATLAB's builtin types, I maintain a simple syntax while leveraging compiled C code to simplify graph analysis without sacrificing efficiency, enabling users to focus on their experiments.
DOI: 10.21105/joss.08622
Author: David R. Connell
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4414008018