Linear Predictive Modeling for Immune Metabolites Related to Other Metabolites

Schwarzerova, Jana ; Pierides, Iro; Sedlar, Karel und Weckwerth, Wolfram (2022): Linear Predictive Modeling for Immune Metabolites Related to Other Metabolites. 9th International Work-Conference, IWBBIO 2022, Maspalomas, Gran Canaria, Spain, June 27–30, 2022. Rojas, Ignacio; Valenzuela, Olga; Rojas, Fernando; Herrera, Luis Javier und Ortuño, Francisco (Hrsg.): In: Bioinformatics and Biomedical Engineering. 9th International Work-Conference, IWBBIO 2022, Maspalomas, Gran Canaria, Spain, June 27–30, 2022, Proceedings, Part I, Lecture Notes in Computer Science Bd. 13346 Cham: Springer. S. 16-27

Abstract

Metabolite analysis reveals new challenges in human health care. This human health care connects to the immune system and presents opportunities for the prevention and detection of early hidden disease symptoms. Predicting the concentration of immune metabolites and confirming relationships between concentrations of individual metabolites have the potential to create breakthroughs in diagnostic techniques. This early detection of serious diseases plays a major role in overall recovery. Moreover, metabolite analysis linked to biomedical applications could provide an ideal tool for preventive healthcare and the pharmaceutical industry.

This study presents the linear prediction of selected metabolites involved in the immune system. The evaluation relied on accurate linear prediction modeling and subsequent comparison. This is the first step toward determining the relationship of metabolites and immune system using computational biomedical analysis.

• Dokumententyp: Konferenzbeitrag (Paper)
• Fakultät: Mathematik, Informatik und Statistik > Informatik
• Themengebiete: 000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik
• ISSN: 0302-9743
• Ort: Cham
• Sprache: Englisch