Systematic Comparison of Advanced Network Analysis and Visualization of Lipidomics Data

Author(s)
Jana Schwarzerová, Dominika Olešová, Aleš Kvasnička, David Friedecký, Margaret Varga, Valentine Provazník, Wolfram Weckwerth
Abstract

Comprehensive analysis of lipids is becoming a forefront of clinical data analysis. Due to significant technical advancements, lipidomics is emerging in clinical diagnostics for improvement and earlier detection of a broad range of diseases. However, in order to understand the biological complexities and interrelationships between the molecules, it is important to have a correct representation of the data and visualizations that enable good interpretability of the lipidomic data. Therefore, the present study systematically compares different visualization methods for lipidomic data, based on different computational relations between the selected lipids and supplemented with known biological information. Networks were reconstructed, and an analysis was performed to objectively compare the visualizations.

Organisation(s)
Research Platform Vienna Metabolomics Center, Functional and Evolutionary Ecology
External organisation(s)
Brno University of Technology, Universität Wien, Slovak Academy of Sciences (SAS), Palacký University Olomouc (UP), University of Oxford
Pages
378-389
No. of pages
12
DOI
https://doi.org/10.1007/978-3-031-34953-9_30
Publication date
06-2023
Peer reviewed
Yes
Austrian Fields of Science 2012
301302 Lipidomics research, 106005 Bioinformatics
Keywords
ASJC Scopus subject areas
Theoretical Computer Science, Computer Science(all)
Portal url
https://ucris.univie.ac.at/portal/en/publications/systematic-comparison-of-advanced-network-analysis-and-visualization-of-lipidomics-data(37887f7d-a926-40b9-802a-d2f00a910c93).html