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Systematic Comparison of Advanced Network Analysis and Visualization of Lipidomics Data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00098892%3A_____%2F23%3A10158295" target="_blank" >RIV/00098892:_____/23:10158295 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-031-34953-9_30" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-34953-9_30</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-34953-9_30" target="_blank" >10.1007/978-3-031-34953-9_30</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Systematic Comparison of Advanced Network Analysis and Visualization of Lipidomics Data

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    30107 - Medicinal chemistry

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Bioinformatics and Biomedical Engineering

  • ISBN

    978-3-031-34952-2

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    12

  • Pages from-to

    378-389

  • Publisher name

    Springer Cham

  • Place of publication

    Cham

  • Event location

    Meloneras

  • Event date

    Jul 12, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article