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Detail publikačního výsledku
SCHWARZEROVÁ, J.; PIERDIES, I.; SEDLÁŘ, K.; WECKWERTH, W.
Original Title
Linear Predictive Modeling for Immune Metabolites Related to Other Metabolites
English Title
Type
Paper in proceedings (conference paper)
Original 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.
English abstract
Keywords
Linear regression, Immunology, Computational biomedical analysis, Metabolomic prediction
Key words in English
Authors
RIV year
2023
Released
08.06.2022
Publisher
Springer
ISBN
978-3-031-07704-3
Book
Bioinformatics and Biomedical Engineering
Pages from
16
Pages to
27
Pages count
11
URL
https://dl.acm.org/doi/abs/10.1007/978-3-031-07704-3_2
Full text in the Digital Library
http://hdl.handle.net/
BibTex
@inproceedings{BUT178421, author="Jana {Schwarzerová} and Iro {Pierdies} and Karel {Sedlář} and Wolfram {Weckwerth}", title="Linear Predictive Modeling for Immune Metabolites Related to Other Metabolites", booktitle="Bioinformatics and Biomedical Engineering", year="2022", pages="16--27", publisher="Springer", doi="10.1007/978-3-031-07704-3\{_}2", isbn="978-3-031-07704-3", url="https://dl.acm.org/doi/abs/10.1007/978-3-031-07704-3_2" }