TY - GEN
T1 - Systematic Comparison of Advanced Network Analysis and Visualization of Lipidomics Data
AU - Schwarzerová, Jana
AU - Olešová, Dominika
AU - Kvasnička, Aleš
AU - Friedecký, David
AU - Varga, Margaret
AU - Provazník, Valentine
AU - Weckwerth, Wolfram
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Computational resources were supplied by the Ministry of Education, Youth and Sports of the Czech Republic under the Projects CESNET (Project No. LM2015042) and CERIT-Scientific Cloud (Project No. LM2015085) provided within the program Projects of Large Research, Development and Innovations Infrastructures.
PY - 2023/6/23
Y1 - 2023/6/23
N2 - 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.
AB - 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.
KW - Comprehensive Analysis
KW - Lipids
KW - Network Visualization
KW - Networks Analysis
UR - http://www.scopus.com/inward/record.url?scp=85164957599&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-34953-9_30
DO - 10.1007/978-3-031-34953-9_30
M3 - Contribution to proceedings
AN - SCOPUS:85164957599
SN - 9783031349522
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 378
EP - 389
BT - Bioinformatics and Biomedical Engineering - 10th International Work-Conference, IWBBIO 2023, Proceedings
A2 - Rojas, Ignacio
A2 - Valenzuela, Olga
A2 - Rojas Ruiz, Fernando
A2 - Herrera, Luis Javier
A2 - Ortuño, Francisco
PB - Springer Science and Business Media Deutschland GmbH
T2 - 10th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2023
Y2 - 12 July 2023 through 14 July 2023
ER -