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Systematic Comparison of Advanced Network Analysis and Visualization of Lipidomics Data

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Bioinformatics and Biomedical Engineering (IWBBIO 2023)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 13919))

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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.

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Acknowledgements

Computational resources were supplied by the Ministry of Education, Youth and Sports of the Czech Republic under the Projects CESNET (Project No. LM2015042) and CERIT-Scientific Cloud (Project No. LM2015085) provided within the program Projects of Large Research, Development and Innovations Infrastructures.

Author information

Authors and Affiliations

  1. Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Technicka 12, 616 00, Brno, Czech Republic

    Jana Schwarzerová & Valentine Provazník

  2. Molecular Systems Biology (MOSYS), University of Vienna, Vienna, Austria

    Jana Schwarzerová & Wolfram Weckwerth

  3. Institute of Experimental Endocrinology, Biomedical Research Center, Slovak Academy of Sciences, Dúbravská Cesta 9, 845 10, Bratislava, Slovak Republic

    Dominika Olešová

  4. Institute of Neuroimmunology, Slovak Academy of Sciences, Dúbravská Cesta 9, 845 10, Bratislava, Slovak Republic

    Dominika Olešová

  5. Department of Clinical Biochemistry, Palacký University Olomouc and University Hospital Olomouc, Olomouc, Czech Republic

    Aleš Kvasnička & David Friedecký

  6. Department of Biology, University of Oxford, Oxfordshire, GB, UK

    Margaret Varga

  7. Vienna Metabolomics Center (VIME), University of Vienna, Vienna, Austria

    Wolfram Weckwerth

Authors
  1. Jana Schwarzerová
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  2. Dominika Olešová
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  3. Aleš Kvasnička
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  4. David Friedecký
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  5. Margaret Varga
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  6. Valentine Provazník
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  7. Wolfram Weckwerth
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Corresponding authors

Correspondence to Jana Schwarzerová or Dominika Olešová .

Editor information

Editors and Affiliations

  1. University of Granada, Granada, Spain

    Ignacio Rojas

  2. University of Granada, Granada, Spain

    Olga Valenzuela

  3. University of Granada, Granada, Spain

    Fernando Rojas Ruiz

  4. University of Granada, Granada, Spain

    Luis Javier Herrera

  5. University of Granada, Granada, Spain

    Francisco Ortuño

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Schwarzerová, J. et al. (2023). Systematic Comparison of Advanced Network Analysis and Visualization of Lipidomics Data. In: Rojas, I., Valenzuela, O., Rojas Ruiz, F., Herrera, L.J., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2023. Lecture Notes in Computer Science(), vol 13919. Springer, Cham. https://doi.org/10.1007/978-3-031-34953-9_30

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  • DOI: https://doi.org/10.1007/978-3-031-34953-9_30

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-34953-9

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