• Corpus ID: 245836877

Automatically layout and visualize the biological pathway map with spectral graph theory

@article{Xiao2022AutomaticallyLA,
  title={Automatically layout and visualize the biological pathway map with spectral graph theory},
  author={Li Xiao and Yanfei Wang and Shiying Li and Lingxi Chen and Shuaicheng Li},
  journal={ArXiv},
  year={2022},
  volume={abs/2201.02728}
}

• Li Xiao, Yanfei Wang, +2 authors Shuaicheng Li
• Published 8 January 2022
• Biology
• ArXiv

The pathway is a biological term that refers to a series of interactions between molecules in a cell that cause a certain product or a change in the cell [NIH20]. Pathway analysis is a powerful method for gene expression analysis [Cir17]. Through pathway maps, the lists of genes that are differently expressed across the given phenotypes are translated into various biological phenomena [Nguyen2019]. Visualizing a pathway map manually is a common practice nowadays because of the limitations of existing solutions to draw complicated graphs (i.e. directed graphs, graph with edge crossings, etc). This project provides a solution to draw pathway maps automatically based on spectral graph theory and topological sort. Various methods are taken to enhance pathway maps’ readability. Significant reductions in the number of edge crossings and the sum of adjacent nodes are achieved.