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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
30107 - Medicinal chemistry
Result continuities
Project
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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
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