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Detail publikačního výsledku
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
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
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.
Anglický abstrakt
Klíčová slova
Comprehensive Analysis, Networks Analysis, Lipids, Network Visualization
Klíčová slova v angličtině
Autoři
Rok RIV
2024
Vydáno
29.06.2023
Nakladatel
SPRINGER INTERNATIONAL PUBLISHING AG
ISBN
978-3-031-34953-9
Kniha
Bioinformatics and Biomedical Engineering
Edice
1
Strany od
378
Strany do
389
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 Valentýna {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="378--389", publisher="SPRINGER INTERNATIONAL PUBLISHING AG", doi="10.1007/978-3-031-34953-9\{_}30", isbn="978-3-031-34953-9", url="https://link.springer.com/chapter/10.1007/978-3-031-34953-9_30" }