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SCHWARZEROVÁ, J. OLEŠOVÁ, D. KVASNIČKA, A. FRIEDECKÝ, D. VARGA, M. PROVAZNÍK, V. WECKWERTH, W.
Originální název
Systematic comparison of advanced network analysis and visualization of lipidomics data
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
Comprehensive Analysis, Networks Analysis, Lipids, Network Visualization
Autoři
SCHWARZEROVÁ, J.; OLEŠOVÁ, D.; KVASNIČKA, A.; FRIEDECKÝ, D.; VARGA, M.; PROVAZNÍK, V.; WECKWERTH, W.
Vydáno
29. 6. 2023
Nakladatel
Springer Cham
ISBN
978-3-031-34953-9
Kniha
Bioinformatics and Biomedical Engineering
Edice
1
Strany od
391
Strany do
402
Strany počet
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" }