Identifying potential signatures for atherosclerosis in the context of predictive, preventive, and personalized medicine using integrative bioinformatics approaches and machine-learning strategies
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Biochemistry (medical),Health Policy,Drug Discovery
Link
https://link.springer.com/content/pdf/10.1007/s13167-022-00289-y.pdf
Reference76 articles.
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2. Ross R. Atherosclerosis–an inflammatory disease. N Engl J Med. 1999;340:115–26. https://doi.org/10.1056/NEJM199901143400207.
3. Timmis A, Townsend N, Gale CP, Torbica A, Lettino M, Petersen SE, et al. European Society of Cardiology: Cardiovascular Disease Statistics 2019 (Executive Summary). Eur Heart J Qual Care Clin Outcomes. 2020;6:7–9. https://doi.org/10.1093/ehjqcco/qcz065.
4. Murray CJ, Lopez AD. Measuring the global burden of disease. N Engl J Med. 2013;369:448–57. https://doi.org/10.1056/NEJMra1201534.
5. Golubnitschaja O, Costigliola V. General report & recommendations in predictive, preventive and personalised medicine 2012: white paper of the European Association for Predictive. Prev Personal Med EPMA J. 2012;3:14. https://doi.org/10.1186/1878-5085-3-14.
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