Broadcasters, receivers, functional groups of metabolites, and the link to heart failure by revealing metabolomic network connectivity-Reference-Cited by-同舟云学术

Broadcasters, receivers, functional groups of metabolites, and the link to heart failure by revealing metabolomic network connectivity

Published:2024-07-07 Issue:4 Volume:20 Page:
ISSN:1573-3890
Container-title:Metabolomics
language:en
Short-container-title:Metabolomics

Author:

Yazdani Azam,Mendez-Giraldez Raul,Yazdani Akram,Wang Rui-Sheng,Schaid Daniel J.,Kong Sek Won,Hadi M. Reza,Samiei Ahmad,Samiei Esmat,Wittenbecher Clemens,Lasky-Su Jessica,Clish Clary B.,Muehlschlegel Jochen D.,Marotta Francesco,Loscalzo Joseph,Mora Samia,Chasman Daniel I.,Larson Martin G.,Elsea Sarah H.

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11306-024-02141-y.pdf

Reference46 articles.

1. Ahangaran, M., Jahed-Motlagh, M. R., & Minaei-Bidgoli, B. (2019). Causal discovery from sequential data in ALS disease based on entropy criteria. Journal of Biomedical Informatics, 89, 41–55.

2. Ahangaran, M., Jahed-Motlagh, M. R., & Minaei-Bidgoli, B. (2020). A novel method for predicting the progression rate of ALS disease based on automatic generation of probabilistic causal chains. Artificial Intelligence in Medicine, 107, 101879.

3. Andersson, C., et al. (2020). Metabolomic signatures of cardiac remodelling and heart failure risk in the community. ESC Heart Failure, 7, 3707–3715.

4. Andersson, C., & Vasan, R. S. (2014). Epidemiology of heart failure with preserved ejection fraction. Heart Failure Clinics, 10, 377–388. https://doi.org/10.1016/j.hfc.2014.04.003

5. Benedetti, E., et al. (2018). Publisher correction: Network inference from glycoproteomics data reveals new reactions in the IgG glycosylation pathway. Nature Communications. https://doi.org/10.1038/s41467-017-02379-2