Publication detail

Linear Predictive Modeling for Immune Metabolites Related to Other Metabolites

SCHWARZEROVÁ, J. PIERDIES, I. SEDLÁŘ, K. WECKWERTH, W.

Original Title

Linear Predictive Modeling for Immune Metabolites Related to Other Metabolites

Type

conference paper

Language

English

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.

Keywords

Linear regression, Immunology, Computational biomedical analysis, Metabolomic prediction

Authors

SCHWARZEROVÁ, J.; PIERDIES, I.; SEDLÁŘ, K.; WECKWERTH, W.

Released

8. 6. 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

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"
}