Arachidonic acid as a target for treating hypertriglyceridemia reproduced by a causal network analysis and an intervention study-Reference-Cited by-同舟云学术

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Arachidonic acid as a target for treating hypertriglyceridemia reproduced by a causal network analysis and an intervention study

Published:2018-05-26 Issue:6 Volume:14 Page:
ISSN:1573-3882
Container-title:Metabolomics
language:en
Short-container-title:Metabolomics

Author:

Yazdani Azam,Yazdani Akram,Bowman Thomas A.,Marotta Francesco,Cooke John P.,Samiei Ahmad

Funder

Keck Center for Interdisciplinary Bioscience Training of the Gulf Coast Consortia

Publisher

Springer Science and Business Media LLC

Subject

Clinical Biochemistry,Biochemistry,Endocrinology, Diabetes and Metabolism

Link

http://link.springer.com/article/10.1007/s11306-018-1368-2/fulltext.html

Reference30 articles.

1. Boluki, S., et al. (2017). Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors. BMC Bioinformatics 18, 552.

2. Broumand, A., et al. (2015). Discrete optimal Bayesian classification with error-conditioned sequential sampling. Pattern Recognition, 48(11), 3766–3782.

3. Capra, V., et al. (2013). Eicosanoids and their drugs in cardiovascular diseases: Focus on atherosclerosis and stroke. Medicinal Research Reviews, 33(2), 364–438.

4. Chen, H. (2018). Role of thromboxane A2signaling in endothelium-dependent contractions of arteries. Prostaglandins and Other Lipid Mediators, 134, 32–37.

5. Cordain, L., et al. (2005). Origins and evolution of the Western diet: Health implications for the 21st century. The American Journal of Clinical Nutrition, 81(2), 341–354.

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