Publication detail

Systematic comparison of advanced network analysis and visualization of lipidomics data

SCHWARZEROVÁ, J. OLEŠOVÁ, D. KVASNIČKA, A. FRIEDECKÝ, D. VARGA, M. PROVAZNÍK, V. WECKWERTH, W.

Original Title

Systematic comparison of advanced network analysis and visualization of lipidomics data

Type

conference paper

Language

English

Original 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.

Keywords

Comprehensive Analysis, Networks Analysis, Lipids, Network Visualization

Authors

SCHWARZEROVÁ, J.; OLEŠOVÁ, D.; KVASNIČKA, A.; FRIEDECKÝ, D.; VARGA, M.; PROVAZNÍK, V.; WECKWERTH, W.

Released

29. 6. 2023

Publisher

Springer Cham

ISBN

978-3-031-34953-9

Book

Bioinformatics and Biomedical Engineering

Edition

1

Pages from

391

Pages to

402

Pages count

12

URL

https://link.springer.com/chapter/10.1007/978-3-031-34953-9_30

BibTex

@inproceedings{BUT184933,
  author="Jana {Schwarzerová} and Dominika {Olešová} and Aleš {Kvasnička} and David {Friedecký} and Margaret {Varga} and Valentine {Provazník} and Wolfram {Weckwerth}",
  title="Systematic comparison of advanced network analysis and visualization of lipidomics data",
  booktitle="Bioinformatics and Biomedical Engineering",
  year="2023",
  series="1",
  pages="391--402",
  publisher="Springer Cham",
  doi="10.1007/978-3-031-34953-9",
  isbn="978-3-031-34953-9",
  url="https://link.springer.com/chapter/10.1007/978-3-031-34953-9_30"
}