Systematic comparison of advanced network analysis and visualization of lipidomics data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F23%3APU149196" target="_blank" >RIV/00216305:26220/23:PU149196 - isvavai.cz</a>

Výsledek na webu

<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" target="_blank" >10.1007/978-3-031-34953-9</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Systematic comparison of advanced network analysis and visualization of lipidomics data

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Systematic comparison of advanced network analysis and visualization of lipidomics data

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

Bioinformatics and Biomedical Engineering

ISBN

978-3-031-34953-9

ISSN

—

e-ISSN

—

Počet stran výsledku

12

Strana od-do

391-402

Název nakladatele

Springer Cham

Místo vydání

neuveden

Místo konání akce

International Work-Conference on Bioinformatics

Datum konání akce

12. 7. 2023

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

—